{"id":"W4233490785","doi":"10.1515/iupac.88.1066","title":"Minamata Disease","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0006718241,0.0007456171,0.001061859,0.002605465,0.0008059565,0.002176824,0.001324621,0.001090544,0.1323733],"category_scores_gemma":[0.006371825,0.0003493183,0.0008807791,0.005290754,0.0002506265,0.001457434,0.001600208,0.00112412,0.07338234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055065,"about_ca_system_score_gemma":0.002195999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372932,"about_ca_topic_score_gemma":0.0408087,"domain_scores_codex":[0.9990695,0.0001506086,0.0001908694,0.0003334823,0.0001470001,0.000108552],"domain_scores_gemma":[0.9984646,0.0003985559,0.0003154819,0.0003080353,0.0003778839,0.0001353687],"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":[0.0002000982,0.00001980357,0.007518924,0.001941716,0.00007453978,0.00008612849,0.00008398599,0.0001056724,0.0001369214,0.001862446,0.9634463,0.02452358],"study_design_scores_gemma":[0.0001027288,0.00001327045,0.01282035,0.001229912,0.00006309832,0.0001760147,0.0001229871,0.0001428265,0.0001361127,0.001280107,0.9838958,0.0000168566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006182112,0.0008085711,0.0001467531,0.0004071796,0.0001049873,0.00003833565,0.9891834,0.0002244706,0.008467988],"genre_scores_gemma":[0.002969323,0.001022949,0.0007188888,0.0005149503,0.00006923961,0.0002352186,0.9878244,0.00009602027,0.006548895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1323733,"threshold_uncertainty_score":0.4428329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372921396945452,"score_gpt":0.3796923313803074,"score_spread":0.3559631174108529,"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."}}