{"id":"W4255256848","doi":"10.1515/iupac.87.0621","title":"Startle Response Test, Acoustic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Test (biology); Computer science; Psychology; Linguistics; Biology; Data mining; Ecology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006253415,0.0005393646,0.0006302461,0.0001438809,0.00008889241,0.00003781195,0.0006252038,0.000484465,0.00684403],"category_scores_gemma":[0.003289735,0.0003987706,0.0002347727,0.000216163,0.0001183344,0.00006798221,0.0004157659,0.0007354364,0.0000270207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320718,"about_ca_system_score_gemma":0.0002438357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004943412,"about_ca_topic_score_gemma":0.00008713159,"domain_scores_codex":[0.9970759,0.00005291771,0.0005699803,0.0006086745,0.00105387,0.0006386254],"domain_scores_gemma":[0.997359,0.0009511095,0.0001762972,0.001035365,0.0001986051,0.0002796376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008843761,0.0002505075,6.847125e-7,0.0002730371,0.0001039144,0.0001191155,0.00000509382,0.0000939337,0.006413581,0.000002369605,0.990833,0.00102033],"study_design_scores_gemma":[0.001010276,0.0001326232,0.000004751372,0.0005298647,0.0001736116,0.000006424201,0.000009526351,0.0001985301,0.001205061,0.00007341256,0.9960673,0.0005885481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001042693,0.000457019,0.001756283,0.0009829566,0.0004137771,0.0002518439,0.9957489,0.0002213227,0.00006360546],"genre_scores_gemma":[0.0001105444,0.0008228208,0.00006767098,0.0002533423,0.0009928802,0.00002192177,0.9940668,0.0000723524,0.003591682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006817009,"threshold_uncertainty_score":0.9998464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009536040445888518,"score_gpt":0.3460156693596255,"score_spread":0.336479628913737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}