{"id":"W4241164232","doi":"10.1515/iupac.79.1689","title":"Neurotoxic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001041408,0.001689808,0.001769936,0.003255475,0.0007310218,0.002364539,0.001868005,0.001295088,0.09081732],"category_scores_gemma":[0.008686224,0.0004658525,0.002138136,0.003996985,0.0002893216,0.001438563,0.001607738,0.001726342,0.06479502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481591,"about_ca_system_score_gemma":0.002815122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329206,"about_ca_topic_score_gemma":0.03581575,"domain_scores_codex":[0.998728,0.00018539,0.0002939164,0.0004092705,0.0002557591,0.000127653],"domain_scores_gemma":[0.9968922,0.0008047653,0.0006597822,0.0005865477,0.0008437307,0.00021302],"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":[0.0006875512,0.00004943122,0.00728558,0.006773977,0.0003128473,0.0001008459,0.00004317734,0.0004366908,0.0002694228,0.00107855,0.9567692,0.02619273],"study_design_scores_gemma":[0.0005426371,0.00007070335,0.01675986,0.002223255,0.0004003873,0.0004233545,0.00007787738,0.0002525996,0.0003762395,0.002462718,0.9763656,0.00004475416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000363221,0.0008498508,0.0001083622,0.0001025164,0.00006582431,0.00003347158,0.9961523,0.0001234745,0.002200761],"genre_scores_gemma":[0.001456684,0.000875271,0.0004618455,0.0003038211,0.00004157841,0.000192708,0.9942887,0.00004779957,0.002331629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9091827,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224309372106804,"score_gpt":0.4706736824176019,"score_spread":0.4482427452069215,"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."}}