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Additional file 1 of Imbalance of flight–freeze responses and their cellular correlates in the Nlgn3−/y rat model of autism

2022· article· en· W6902194496 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsSomatosensory systemRat modelStimulus (psychology)StimulationSensory systemElectrophysiologyVisual cortexPremovement neuronal activity

Abstract

fetched live from OpenAlex

Additional file 1: Supplemental figures S1-S9. Figure S1. Nlgn3−/y rats display reduced classic freezing behaviour in a contextual fear conditioning paradigm. Figure S2. Freezing analysed as “paw immobility response” (all four paws unmoving but allowing for movement of head and neck). Figure S3. WT and Nlgn3−/y rats show similar activity in an open field, rotational platform & marble interaction tasks. Figure S4. Effect of repeated footshocks & thermal stimulus on WT and Nlgn3−/y rats. Figure S5. Intrinsic properties of PAG cells recorded from WT and Nlgn3−/y rats. Figure S6. Hyperexcitability of dorsal, but not ventral PAG neurons in 8-10 week old Nlgn3−/y rats. Figure S7. PAG LFPs during fear recall are significantly shorter duration in Nlgn3−/y rats. Figure S8. Defensive reactions were not elicited by electrical stimulation of primary somatosensory cortex in WT or Nlgn3−/y rats. Figure S9. Western blots showing lack expression of NLGN3 in Nlgn3−/y rats both in sensory cortex and periaqueductal grey.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score0.296

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.7930.099

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.251
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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