{"id":"W4256245624","doi":"10.1515/iupac.73.0272","title":"Fermentation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biopolymer Synthesis and Applications","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; Fermentation; Chemistry; Product (mathematics); Biochemistry; Human nutrition; Organic chemistry; Polymer science; Biotechnology; Biology; Computer science; 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":[0.0009304096,0.001809385,0.001174574,0.002365559,0.0008078268,0.002847055,0.001729272,0.001155726,0.06939191],"category_scores_gemma":[0.005221676,0.0004717386,0.001462383,0.005050858,0.0003127163,0.001446375,0.001530645,0.00141416,0.1086098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112169,"about_ca_system_score_gemma":0.001883321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331519,"about_ca_topic_score_gemma":0.0199213,"domain_scores_codex":[0.9986066,0.0001912061,0.0001639736,0.0005436925,0.0003054182,0.00018907],"domain_scores_gemma":[0.9983069,0.0003734831,0.0002371936,0.0004708043,0.0004792343,0.00013236],"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":[0.0006170356,0.00008044879,0.010071,0.002631768,0.0001407842,0.00009379003,0.00006609123,0.0009470587,0.0007452473,0.002071932,0.9544863,0.02804847],"study_design_scores_gemma":[0.0001345941,0.00002726161,0.009941675,0.0004848192,0.00005222809,0.00009055767,0.00008530609,0.0003741818,0.0006494936,0.001453843,0.9866789,0.00002720271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008671849,0.000333563,0.0002599444,0.00006448438,0.00004787678,0.00002196914,0.9944445,0.0005031984,0.003457178],"genre_scores_gemma":[0.0013237,0.0002252868,0.000458355,0.00006349968,0.000007364669,0.00004022225,0.9963111,0.0000837586,0.001486786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06939191,"threshold_uncertainty_score":0.2321391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014988767933467,"score_gpt":0.3899892754277373,"score_spread":0.3798393877484026,"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."}}