{"id":"W4250481016","doi":"10.1515/iupac.87.0595","title":"Scombroid Poisoning","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Poisoning and overdose treatments","field":"Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008277384,0.001044873,0.001114704,0.00340407,0.0005434321,0.001529871,0.001314161,0.001201997,0.04871425],"category_scores_gemma":[0.006960034,0.0003623022,0.001468499,0.006009369,0.0002956598,0.001038123,0.001216193,0.001379186,0.03223934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590549,"about_ca_system_score_gemma":0.002843364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439978,"about_ca_topic_score_gemma":0.04132796,"domain_scores_codex":[0.9987736,0.0001787142,0.000358178,0.0003145126,0.0002693224,0.0001056173],"domain_scores_gemma":[0.9965404,0.0008376922,0.0008306446,0.0006001794,0.000980551,0.0002105987],"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":[0.0004268951,0.00003628208,0.007389731,0.004683902,0.0001716356,0.000115245,0.00003300168,0.0004188994,0.0002072622,0.0007579036,0.9721942,0.01356489],"study_design_scores_gemma":[0.0005441683,0.00005184309,0.02641536,0.002526318,0.0001692798,0.0004246694,0.00008969179,0.0004762652,0.0004888689,0.001358218,0.9674109,0.00004423709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003483545,0.0002736006,0.00005905217,0.00008760542,0.00002745979,0.00002349558,0.997592,0.000111043,0.001477308],"genre_scores_gemma":[0.001137405,0.0004056932,0.0002362777,0.0001424485,0.00001710037,0.00009313552,0.996823,0.00002873068,0.001116296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04871425,"threshold_uncertainty_score":0.1629654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636668199028013,"score_gpt":0.4249390165441444,"score_spread":0.4085723345538643,"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."}}