{"id":"W4244805934","doi":"10.1515/iupac.79.1774","title":"Peroxisome","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics","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":[0.0008828393,0.002263101,0.002090205,0.00405438,0.0009737071,0.002892139,0.002981584,0.002178693,0.07510715],"category_scores_gemma":[0.005499726,0.0007356675,0.002008835,0.006512884,0.0003658538,0.001705537,0.002409136,0.002020381,0.09259166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267736,"about_ca_system_score_gemma":0.003014772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081808,"about_ca_topic_score_gemma":0.02359681,"domain_scores_codex":[0.9989183,0.000156327,0.0001751545,0.000383296,0.0002337834,0.0001332012],"domain_scores_gemma":[0.9983797,0.0004680221,0.0002684711,0.0003977501,0.0003159308,0.0001700214],"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":[0.0003840869,0.00003193871,0.002442105,0.005849564,0.0001638433,0.0001142866,0.00005478096,0.0005758441,0.0005681432,0.001291135,0.9790028,0.00952152],"study_design_scores_gemma":[0.0002682618,0.00002511,0.004283377,0.0009175782,0.0001311765,0.0001878769,0.00004220332,0.0002169903,0.0004205224,0.001567132,0.9919075,0.00003228147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001295252,0.0003445352,0.00008632641,0.00006723274,0.00002133908,0.00001332118,0.9982404,0.0002621973,0.0008351115],"genre_scores_gemma":[0.0003561908,0.0002854473,0.0002889272,0.0001058394,0.00000713315,0.00007776414,0.9982716,0.00005030881,0.0005568306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07510715,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00905024629200696,"score_gpt":0.3645213288254385,"score_spread":0.3554710825334315,"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."}}