{"id":"W4252757358","doi":"10.1515/iupac.73.0267","title":"Fat","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; 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":[0.0007950091,0.001828887,0.001271413,0.002849731,0.0007187507,0.00213999,0.002326152,0.001740437,0.05513765],"category_scores_gemma":[0.005447223,0.0004614615,0.001542956,0.004832113,0.000367463,0.001356888,0.001917447,0.001575629,0.09205029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093734,"about_ca_system_score_gemma":0.002003214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090003,"about_ca_topic_score_gemma":0.02070644,"domain_scores_codex":[0.9989108,0.0001822658,0.0001420834,0.0004206281,0.0002114038,0.0001329419],"domain_scores_gemma":[0.9987689,0.0003059273,0.000183325,0.0003168612,0.000298204,0.0001267554],"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":[0.0003075394,0.00004514945,0.003165404,0.002200906,0.0001047246,0.00007888207,0.00004715612,0.0004393939,0.0002726088,0.001162635,0.9813159,0.01085963],"study_design_scores_gemma":[0.0002344807,0.00002793428,0.005813248,0.0006354066,0.00007098819,0.0001630809,0.00006434201,0.0002775381,0.0003879517,0.001634795,0.9906662,0.00002386433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002628226,0.0002930209,0.0001218524,0.00008718127,0.00003761908,0.00001629776,0.9977897,0.0002604271,0.001131013],"genre_scores_gemma":[0.0005057525,0.0001846907,0.0002493599,0.00008579141,0.000008938178,0.00005534695,0.9981541,0.00004101634,0.0007149057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05513765,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892181327909789,"score_gpt":0.4176565732557974,"score_spread":0.3987347599766995,"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."}}