{"id":"W4251043550","doi":"10.1515/iupac.73.0339","title":"Hydrolysis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Hydrolysis; Table (database); Product (mathematics); Commission; Chemistry; Biochemistry; Food science; Organic chemistry; Human nutrition; Polymer science; Computer science; Political science; Mathematics; 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":[0.001307677,0.002418748,0.001374971,0.003318145,0.0008235839,0.003432281,0.002786124,0.001817441,0.1117835],"category_scores_gemma":[0.007908765,0.0006358354,0.002097767,0.0049341,0.0004528897,0.002146068,0.001992797,0.001762064,0.1623359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339082,"about_ca_system_score_gemma":0.002443244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052384,"about_ca_topic_score_gemma":0.01749441,"domain_scores_codex":[0.9980443,0.0002721023,0.000256828,0.0008145631,0.0004056726,0.0002065205],"domain_scores_gemma":[0.9976373,0.0006059224,0.0003076548,0.0006771495,0.0006188704,0.0001530791],"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":[0.0003644485,0.00005833789,0.004085206,0.002375342,0.0001151273,0.00007299208,0.00004706089,0.000647912,0.0005088316,0.001988608,0.973843,0.01589313],"study_design_scores_gemma":[0.0002285672,0.00002731164,0.006039129,0.0006262527,0.0000671429,0.0001295302,0.00007711933,0.0004713464,0.0007849569,0.00281312,0.9887024,0.00003316972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004142138,0.0002984614,0.0002669792,0.00009890568,0.00003918742,0.00003157925,0.9955298,0.0005492269,0.002771595],"genre_scores_gemma":[0.0007338311,0.0001694731,0.0004196136,0.00008676691,0.0000072032,0.00007372251,0.9970054,0.00007455313,0.001429381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1117835,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006506128192084736,"score_gpt":0.3546946284144832,"score_spread":0.3481885002223984,"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."}}