{"id":"W4254513479","doi":"10.1515/iupac.73.0502","title":"Peroxisomes","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":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Peroxisome; Food science; Biochemistry; Chemistry; Lipidology; Clinical chemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Gene; Law; 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":[0.0006971605,0.001928747,0.001756882,0.004450188,0.001035381,0.002901383,0.002115436,0.002076462,0.05708809],"category_scores_gemma":[0.004696241,0.0007800574,0.001598505,0.008833363,0.0003645598,0.001635576,0.002236821,0.001903558,0.08061913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154761,"about_ca_system_score_gemma":0.002885003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008273229,"about_ca_topic_score_gemma":0.01520965,"domain_scores_codex":[0.9989473,0.000127146,0.0001374662,0.0003805258,0.0002392153,0.0001683728],"domain_scores_gemma":[0.9984363,0.0004536022,0.0002799371,0.0003941449,0.0002629889,0.0001730419],"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":[0.0005451393,0.00003142444,0.003986428,0.007108438,0.0001913236,0.0002561658,0.000101271,0.0007707612,0.001305508,0.003097007,0.9675635,0.01504298],"study_design_scores_gemma":[0.0001148425,0.00001494215,0.004607422,0.0008283759,0.00008021574,0.0002569056,0.00004082518,0.0001417222,0.0005330887,0.001900049,0.9914604,0.00002116595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002377993,0.0005386971,0.0001412506,0.00008587667,0.00002783377,0.000009749146,0.9972754,0.0003062449,0.001377124],"genre_scores_gemma":[0.0006828321,0.0006201955,0.000319606,0.00009151827,0.000007524409,0.00004401224,0.9974886,0.00004986369,0.0006957693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05708809,"threshold_uncertainty_score":0.1909787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00891355295111491,"score_gpt":0.3654799668528032,"score_spread":0.3565664139016883,"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."}}