{"id":"W4244027697","doi":"10.1515/iupac.81.0210","title":"Cooxidation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental science; Computer science; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.00112746,0.002208476,0.00145049,0.004015906,0.001217952,0.003571262,0.002693841,0.002181725,0.08008666],"category_scores_gemma":[0.006697693,0.0006605765,0.001861999,0.006461313,0.0004348241,0.002729436,0.00256153,0.002267758,0.1357033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007523,"about_ca_system_score_gemma":0.002981306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068484,"about_ca_topic_score_gemma":0.04322015,"domain_scores_codex":[0.9983076,0.0002283375,0.0002325138,0.0005678675,0.0004329809,0.0002306777],"domain_scores_gemma":[0.9971814,0.0005876481,0.0003545751,0.0007953623,0.0008719848,0.0002090529],"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":[0.0001020625,0.00002240727,0.001591827,0.001354134,0.0000368861,0.00002835809,0.00002407886,0.0002541107,0.0001685027,0.001022208,0.9897079,0.005687497],"study_design_scores_gemma":[0.00009347049,0.00001263112,0.003026681,0.0004955283,0.00002588996,0.00006240709,0.00004894303,0.0002310498,0.0003047412,0.001363897,0.994313,0.00002175148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001557796,0.0002353105,0.00008645549,0.0001199345,0.00004694598,0.00001467062,0.9972295,0.0002983196,0.001813164],"genre_scores_gemma":[0.0003410419,0.0001663782,0.0002569301,0.00008951861,0.00000880483,0.0000409875,0.9980174,0.00006055954,0.001018304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08008666,"threshold_uncertainty_score":0.2679166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009683098396172079,"score_gpt":0.3576829231699004,"score_spread":0.3479998247737283,"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."}}