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Development case · blind model judgment pending independent human review; not a formal Benchmark conclusion.
AutocompleteEvidence version preferred132 / 162 · 2df115a4b1f4c2c9

Human Stress Assessment: A Comprehensive Review of Methods Using Wearable Sensors and Non-wearable Techniques

Psychology and cognitive neuroscience · 2202.03033v2

FLOWING EVIDENCE BENCHMARK

How do we tell whether Evidence helps?

At the same writing position, with the same model and task, how does supplying retrieved paper passages change the first output? We compare matched versions and retain ties, unusable outputs and incomplete reviews.

SAME DRAFT · EVIDENCE ON OR OFF

01 · FIXED WRITING POSITION

MANUSCRIPT

Same writing position ▌

Matched autocomplete at the same draft position

02 · TWO MATCHED INPUTS

SHARED BY BOTH

Manuscript context, model, task and prompt

A · With Evidence

Retrieved paper passages supplied

B · Without Evidence

No retrieved passages supplied

LLM

Same model and version

A → first output

B → first output

Blind judge agent

First outputs are anonymized as X and Y

Continuation review: accuracy, fit to the writing task and usability
Returns: X preferred / tie / Y preferred / both unusable

Order check: X / Y → Y / X

HOW DOES BLIND JUDGING WORK?

① Anonymize both outputs
The judge sees the same draft and both first outputs without knowing which received Evidence.

② Compare and swap order
The judge applies task-specific criteria in X/Y and then Y/X order.

③ Review disagreements
A third pass resolves disagreements. Incomplete reviews remain in the denominator.

How are autocomplete positions stratified?

Before seeing generation outcomes, we check whether a retrieved passage contains a specific proposition that directly supports the next writing move. Those positions appear in the left opportunity group; the rest are ordinary positions on the right. We select a balanced sample from admitted papers in each field. The 50/50 split is experimental, not a measure of how often either type occurs in writing.

AUTOCOMPLETE · 110

Biology, statistics and astrophysics

55 positions on each side; statistics uses the ten-paper rerun.

AUTOCOMPLETE · 52

Psychology and climate science

26 positions on each side; psychology includes nine papers and climate science four.

How are the table percentages calculated?

Across five fields there are 81 source-opportunity positions. The original blind review preferred Evidence in 51; a task check moved one empty Evidence continuation to both unusable, leaving 50 in public counts. In the ordinary group, another pair of empty outputs moved from no winner to both unusable. Original verdicts remain visible on case pages.

50Evidence version preferred
÷
81All positions in this group
=
62%Evidence preference in this group

Source contribution is a separate review: 16 of 21 Evidence wins entered into source review directly used retrieved papers; another 29 wins await review.

These are development-stage model judgments pending independent human review. They are not formal Benchmark conclusions and do not, on their own, establish causality.

Manuscript writing position

Text excerpt · not a PDF page

Research manuscript · excerpt

Human Stress Assessment: A Comprehensive Review of Methods Using Wearable Sensors and Non-wearable Techniques

6 Future Directions

…e of challenges like environmental conditions i.e., temperature, humidity, and lightning affecting these recorded physiological signals and other body functions. An example of the effect of these environmental conditions includes pupil diameter changes in response to light stimulation and changes in skin conductance of the human body due to temperature and physical activity. Thus in an outdoor environment, these conditions are very difficult to remain constant which can somehow be maintained in-lab environment thus posing a greater challenge and affecting the stress measurement study results.

…k chronic stress measurement should be given its due importance so that it can be properly diagnosed and treated before it becomes a permanent part of one’s life. Most of the stress measurement studies in the literature have used their dataset for the detection of stress and thus it is difficult to compare the results of different schemes directly because of the lack of standard publicly available stress measurement datasets, hence the curation of data for measurement of stress like DEAP database for emotions ( Koelstra et al., 2011 ) using globally accepted practices is the need of the hour.

↓ Next paragraph was generated here

The highlighted text is near the writing position. This is a layout of the evaluation input, not a PDF screenshot.

A matched comparison at the same writing positionJudgment: Evidence version preferred

Both arms use the same model, task and manuscript context. Only the retrieved passages differ. The first recorded output from each arm is shown below.

Evidence

Same model and position · retrieved passages supplied · first output

Preferred by blind review

Beyond dataset curation, future work should also address the environmental and physiological confounds that currently limit the reliability of stress measurement outside controlled laboratory settings.

Passages supplied to the Evidence version

First direct detection constraints on Planck-scale mass dark matter with multiple-scatter signatures using the DEAP-3600 detector ↗

This study uses DEAP-3600 data to derive new constraints on composite DM , including the first direct detection results probing Planck-scale masses. These constraints were obtained through a dedicated analysis of multiple-scatter signals, accounting for the attenuation that the DM would experience i…

Read full passage excerpt

This study uses DEAP-3600 data to derive new constraints on composite DM , including the first direct detection results probing Planck-scale masses. These constraints were obtained through a dedicated analysis of multiple-scatter signals, accounting for the attenuation that the DM would experience in the laboratory’s overburden. The analysis used to achieve these results represents the first study of this kind in a tonne-scale direct detection experiment, extending Planck-scale limits from ancient mica [ 54 ] and etched plastic studies [ 53 ] to lower cross sections.

No Evidence

Same model and position · no retrieved passages · first output

Not preferred in this comparison

The product produced no insertable continuation text.

The model explicitly returned a no-completion marker.

Judgment and task check

The blinded model review preferred the Evidence version. Its original rationale appears below.

Read the original model judgment

In this rationale, Output A = No Evidence; Output B = Evidence.

Output A is empty, which fails the task requirement to continue the manuscript with one coherent academic paragraph. Output B provides a relevant, coherent paragraph that bridges the preceding discussion: it connects the environmental confounds mentioned earlier in the draft (temperature, humidity, lighting affecting physiological signals) with the dataset curation need mentioned in the immediately preceding sentence (DEAP database, standard datasets). The paragraph logically extends the manuscript's argument by suggesting future work should address both issues together. No unsupported claims are introduced—all concepts (environmental confounds, laboratory vs. outdoor settings, reliability of stress measurement) are grounded in the draft text. The DEAP mention in sources is about a dark matter detector, not the emotion database referenced in the draft, but Output B does not rely on or cite this source; it only uses draft-grounded content.

The passages are input material; their presence does not mean an output used them or that they support every claim. Draft and source passages are excerpted; no simulated scores or PDF appear here.