{"id":"W4237426111","doi":"10.1515/iupac.73.0095","title":"Brassica","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); Food science; Commission; Product (mathematics); Chemistry; Biochemistry; Organic chemistry; Polymer science; Biotechnology; Computer science; Biology; Mathematics; Political science; 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":[0.0004186458,0.001764123,0.001308573,0.003630924,0.001109088,0.001992291,0.001192391,0.0008712117,0.05977149],"category_scores_gemma":[0.002302335,0.0004769396,0.0009358436,0.005683281,0.0003932589,0.0009675518,0.001163847,0.001128108,0.08326906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009253355,"about_ca_system_score_gemma":0.001538059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257852,"about_ca_topic_score_gemma":0.03533952,"domain_scores_codex":[0.9993452,0.00007449086,0.0000593996,0.0003212191,0.0001248628,0.00007478255],"domain_scores_gemma":[0.9992141,0.0002077298,0.0001072533,0.000222572,0.0001733097,0.00007511838],"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":[0.0007316037,0.00006811156,0.008109502,0.004121799,0.0002594632,0.0003157822,0.0001790953,0.001064689,0.0027051,0.002834668,0.9506294,0.02898085],"study_design_scores_gemma":[0.0001356439,0.00001744395,0.008752701,0.0003970338,0.0000630373,0.0002010186,0.0000900649,0.0001477317,0.0005396604,0.001132366,0.9884982,0.00002513431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001219407,0.0009024622,0.0002235851,0.00007645333,0.00003314538,0.0000126607,0.9938027,0.0006550532,0.0030746],"genre_scores_gemma":[0.001703962,0.0004809009,0.0004352801,0.00006938858,0.000005557773,0.00004180396,0.9951692,0.00008017804,0.002013677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05977149,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008270800326137641,"score_gpt":0.3559457871225095,"score_spread":0.3476749867963719,"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."}}