{"id":"W4251237772","doi":"10.1515/iupac.73.0232","title":"Edible Oil","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Food science; Commission; Product (mathematics); Chemistry; Olive oil; Edible oil; Biochemistry; Organic chemistry; Polymer science; Biotechnology; Computer science; Biology; 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":[0.000501433,0.001912243,0.001243509,0.004207985,0.0006459822,0.001732646,0.001979425,0.001654952,0.0401486],"category_scores_gemma":[0.004352419,0.000410246,0.001239569,0.00702989,0.0003129838,0.001349063,0.001654081,0.001128839,0.0589704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234372,"about_ca_system_score_gemma":0.001680237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02248899,"about_ca_topic_score_gemma":0.03999303,"domain_scores_codex":[0.9993368,0.0000629757,0.00009543123,0.0002253105,0.0001777986,0.0001017608],"domain_scores_gemma":[0.9987314,0.0003164854,0.0002174797,0.0002584927,0.0003791199,0.00009697591],"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":[0.0003520439,0.00005873724,0.004230504,0.004422453,0.0001214638,0.0001082699,0.00004683593,0.0007548941,0.0006271672,0.001585971,0.9676548,0.02003689],"study_design_scores_gemma":[0.0001451393,0.00002479901,0.00752953,0.001093716,0.00006267861,0.0001153497,0.00008180183,0.0003370182,0.0006234248,0.001334364,0.9886241,0.00002816294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002520266,0.0002290738,0.00007053482,0.00003792114,0.00001720193,0.000008443648,0.9986129,0.00009854021,0.0006732451],"genre_scores_gemma":[0.0004819464,0.0002240716,0.0002413576,0.0000341899,0.000004658567,0.00002873674,0.9983359,0.0000195357,0.0006295674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0401486,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678509479188714,"score_gpt":0.4187129363236118,"score_spread":0.4019278415317247,"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."}}