{"id":"W4250450267","doi":"10.1515/iupac.79.1746","title":"Oxidative Stress","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Biology; Philosophy; 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":[0.001205723,0.001815261,0.00198334,0.003964538,0.001015911,0.002823476,0.002103648,0.00185727,0.07248026],"category_scores_gemma":[0.007688856,0.0005980323,0.002125668,0.006122976,0.0002975395,0.001695236,0.002004912,0.001793327,0.06490082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222059,"about_ca_system_score_gemma":0.002365794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110035,"about_ca_topic_score_gemma":0.02443008,"domain_scores_codex":[0.9985185,0.0002002935,0.0003361836,0.0004855377,0.0002987309,0.000160702],"domain_scores_gemma":[0.9966168,0.0007869152,0.0006738165,0.0007497714,0.0009169471,0.000255774],"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":[0.000439266,0.00004688069,0.00532645,0.005812981,0.0001954098,0.00005635918,0.00005472625,0.0003014512,0.0004647119,0.00067496,0.9736807,0.01294607],"study_design_scores_gemma":[0.0004684096,0.00006464389,0.02015433,0.001849111,0.000264224,0.0002273252,0.000106791,0.0002477134,0.0006430076,0.002094943,0.9738092,0.00007021539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000174762,0.0002868334,0.00005446519,0.00006088542,0.00003196992,0.00002073801,0.9985454,0.0001133881,0.0007115442],"genre_scores_gemma":[0.0005237762,0.0002626437,0.0002621338,0.0001059535,0.00001382868,0.0001167426,0.9979449,0.00002691296,0.0007432192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9275197,"threshold_uncertainty_score":0.2424706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006080873335383234,"score_gpt":0.3209169455958391,"score_spread":0.3148360722604558,"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."}}