{"id":"W4242414233","doi":"10.1515/iupac.73.0437","title":"Microsomes","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lipid metabolism and biosynthesis","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; Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; Data mining; Law","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":[0.001774385,0.002129735,0.00137303,0.003360253,0.001083234,0.003725738,0.002943468,0.002081989,0.1048793],"category_scores_gemma":[0.01187142,0.0007129843,0.001794434,0.005705493,0.0004880853,0.002980829,0.002202826,0.002115291,0.1793706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609168,"about_ca_system_score_gemma":0.003380106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099601,"about_ca_topic_score_gemma":0.02070163,"domain_scores_codex":[0.997291,0.0004823308,0.0003223515,0.001109406,0.0005027438,0.0002921291],"domain_scores_gemma":[0.996456,0.0009750006,0.0003095111,0.001109424,0.0009095549,0.0002404402],"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":[0.0001716174,0.00003138623,0.001933953,0.001196136,0.00006287853,0.0000523668,0.00003949093,0.0004890892,0.0002565543,0.001735341,0.9843004,0.009730639],"study_design_scores_gemma":[0.0001491605,0.00002047352,0.002615801,0.000351327,0.00004337341,0.00009102653,0.0000683972,0.0005290069,0.0004991059,0.003292582,0.9923173,0.00002245632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002325536,0.0001768029,0.0003856995,0.0001561161,0.000053576,0.00003270338,0.9954779,0.001120557,0.002364138],"genre_scores_gemma":[0.0004988628,0.0001200183,0.0006202852,0.0001100662,0.000009789486,0.00008572046,0.9972088,0.0001154695,0.001230938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1048793,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007520952058464063,"score_gpt":0.3533157857915549,"score_spread":0.3457948337330909,"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."}}