{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008164288,0.001295057,0.001074677,0.001996572,0.0003709651,0.001365495,0.001593322,0.001057287,0.04057764],"category_scores_gemma":[0.007065736,0.0003139904,0.001173199,0.002082369,0.0002427871,0.001097183,0.001008007,0.001178563,0.03299009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007726597,"about_ca_system_score_gemma":0.001108383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064268,"about_ca_topic_score_gemma":0.02052163,"domain_scores_codex":[0.9992043,0.0001022118,0.0002113428,0.000262732,0.000156207,0.00006332113],"domain_scores_gemma":[0.9974732,0.0007331077,0.0006112069,0.0003803476,0.0006535891,0.0001485638],"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":[0.00143312,0.0001658585,0.03420914,0.004862002,0.0003370745,0.000197981,0.00005789307,0.0008404011,0.0006665076,0.0005028564,0.9103944,0.04633281],"study_design_scores_gemma":[0.00107767,0.0002787615,0.1484607,0.002000338,0.0004493175,0.0008268825,0.0001863232,0.001460939,0.001690412,0.003603417,0.8398053,0.0001599471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001387611,0.0003404065,0.0002061429,0.00009695101,0.00005045317,0.00005941368,0.9957762,0.0002294457,0.00185332],"genre_scores_gemma":[0.004164362,0.0003738177,0.0006999837,0.0001561441,0.00002912513,0.0002940143,0.9920586,0.00003959307,0.002184442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04057764,"threshold_uncertainty_score":0.1357458,"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."}}