{"id":"W4237538827","doi":"10.1515/iupac.87.0586","title":"Rotarod Test","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.000406509,0.0005260608,0.000606102,0.0001641834,0.0001503221,0.00007117521,0.0006374396,0.0002734604,0.005363367],"category_scores_gemma":[0.00233712,0.0003810645,0.000187366,0.0001289692,0.0001851033,0.00009926035,0.0003038984,0.0005732428,0.00003855374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600932,"about_ca_system_score_gemma":0.0003684696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001934367,"about_ca_topic_score_gemma":0.0001083877,"domain_scores_codex":[0.9974027,0.00008820747,0.0004676476,0.0006688494,0.000873308,0.0004993216],"domain_scores_gemma":[0.9978007,0.0005044182,0.0003370349,0.000830348,0.0003518041,0.0001756663],"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":[0.0002612651,0.0002792259,0.00006312412,0.0001088684,0.000072763,0.0006377149,0.00000855011,8.354974e-8,0.00009274189,0.00000466391,0.9952965,0.003174515],"study_design_scores_gemma":[0.0006298842,0.002056448,0.0001764722,0.0008373637,0.00007095475,0.0001542465,0.00001685042,0.000005282101,0.00001150436,0.0001781634,0.9953345,0.0005283179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000832791,0.0004777702,0.00004816486,0.00030993,0.0005612401,0.0002052626,0.9969723,0.0002255985,0.0003669191],"genre_scores_gemma":[0.0004347164,0.0002939758,0.0001332678,0.0001868636,0.002496352,0.0000161913,0.9947143,0.00006806034,0.001656331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005324813,"threshold_uncertainty_score":0.9998641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08692007839963382,"score_gpt":0.4970422816819777,"score_spread":0.4101222032823439,"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."}}