{"id":"W4247006434","doi":"10.1515/iupac.81.0208","title":"Control","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":[0.001705279,0.001704305,0.001351735,0.003326529,0.001354298,0.004664543,0.003475181,0.002115084,0.2014762],"category_scores_gemma":[0.01364598,0.0005507568,0.001789108,0.006055002,0.0005578306,0.003402197,0.002301752,0.002221658,0.1872178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232339,"about_ca_system_score_gemma":0.003351374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0418283,"about_ca_topic_score_gemma":0.05165267,"domain_scores_codex":[0.9958567,0.0005730256,0.0004684241,0.001514434,0.00104781,0.0005395926],"domain_scores_gemma":[0.9936814,0.00140008,0.0005655956,0.002001753,0.001967486,0.0003836255],"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":[0.0001328823,0.00003773062,0.002836525,0.0005511187,0.00003616112,0.00003002982,0.00003574225,0.0003436665,0.0001161575,0.003551544,0.9771526,0.01517581],"study_design_scores_gemma":[0.00009607474,0.00001720755,0.003454629,0.0003778208,0.00002290111,0.00007084789,0.0001250507,0.0006100755,0.0002296786,0.002744695,0.9922248,0.00002616537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005980472,0.0003552451,0.0005932673,0.0003504149,0.0001752615,0.00008114223,0.9838234,0.0008898084,0.01313336],"genre_scores_gemma":[0.00186145,0.0002020081,0.0008316458,0.0003280505,0.00003151479,0.0001592714,0.9898943,0.0001663675,0.0065254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7985238,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012023090141585,"score_gpt":0.4091279554864928,"score_spread":0.3971048653449078,"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."}}