{"id":"W4229982151","doi":"10.1515/iupac.87.0459","title":"Neurotoxicant","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; Relation (database); Chemical nomenclature; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276028,0.00136349,0.001387669,0.003834059,0.0007086827,0.002290298,0.001973158,0.001753159,0.08771807],"category_scores_gemma":[0.01048793,0.0005205877,0.001513977,0.005088117,0.0003867615,0.00176089,0.001744107,0.002008471,0.07486157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613024,"about_ca_system_score_gemma":0.002941376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01507744,"about_ca_topic_score_gemma":0.03363514,"domain_scores_codex":[0.9984013,0.0002355431,0.0004747541,0.00039857,0.0003567826,0.0001329407],"domain_scores_gemma":[0.9950563,0.001516568,0.0009368428,0.000829931,0.00142457,0.0002357739],"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":[0.0002429566,0.00002971116,0.00326934,0.004838755,0.00007365675,0.00006340755,0.00003800332,0.0003208789,0.0001965042,0.001060108,0.9776985,0.01216812],"study_design_scores_gemma":[0.0001640736,0.0000245037,0.006446981,0.001388272,0.00006029729,0.0001446313,0.00005786956,0.0001609314,0.0002275123,0.001212752,0.9900888,0.00002340078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001514085,0.000334313,0.0000811518,0.0001078602,0.00003583781,0.00002896735,0.9971845,0.0001234024,0.001952547],"genre_scores_gemma":[0.0006844429,0.0004432308,0.000508435,0.0002165179,0.00001743178,0.0001558741,0.9962482,0.00004717778,0.001678673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08771807,"threshold_uncertainty_score":0.2934462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048006134282046,"score_gpt":0.508411215248546,"score_spread":0.4036106018203414,"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."}}