{"id":"W4247210404","doi":"10.1515/iupac.73.0025","title":"Acrolein","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Chemistry; Food science; Commission; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Database","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":[0.0008745189,0.001600058,0.001280395,0.003050918,0.0006104155,0.001923146,0.001703122,0.001586553,0.05271011],"category_scores_gemma":[0.005659329,0.0003960457,0.001382158,0.005151526,0.0003237203,0.001193995,0.001472838,0.001230393,0.057227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008726581,"about_ca_system_score_gemma":0.001719943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00751753,"about_ca_topic_score_gemma":0.01441676,"domain_scores_codex":[0.9989223,0.0001837921,0.0001657447,0.0004128901,0.0001917414,0.0001235216],"domain_scores_gemma":[0.9982392,0.0005052438,0.0003949729,0.0003370755,0.0003716665,0.0001518942],"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":[0.0009421248,0.00007971896,0.007751581,0.006353372,0.0002375397,0.0001124933,0.00006208105,0.0006279504,0.0008704081,0.001447562,0.9621026,0.01941258],"study_design_scores_gemma":[0.00038233,0.00005693863,0.01294849,0.001054346,0.0001532819,0.0001597566,0.0000662008,0.0002483522,0.0006304323,0.001384891,0.9828812,0.00003376264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004490403,0.0005521431,0.00008999616,0.00008780783,0.00003124335,0.00002167063,0.9976272,0.0001481639,0.0009927894],"genre_scores_gemma":[0.001287289,0.0004233889,0.0003358091,0.0001170387,0.00001634978,0.0001164617,0.9966345,0.00003943989,0.001029776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05271011,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729687552766491,"score_gpt":0.4208403977455641,"score_spread":0.4035435222178992,"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."}}