{"id":"W4247141140","doi":"10.1515/iupac.79.1430","title":"Hyperplasia","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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics","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":[0.001369789,0.001646351,0.001353253,0.002860032,0.0008393975,0.003110705,0.002525185,0.001591949,0.1536561],"category_scores_gemma":[0.01042223,0.0004949109,0.001766519,0.004611796,0.0003268238,0.002155658,0.001854282,0.001508088,0.1923917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143887,"about_ca_system_score_gemma":0.002720813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327687,"about_ca_topic_score_gemma":0.02593607,"domain_scores_codex":[0.9978504,0.000344227,0.0003391434,0.000832246,0.0004103353,0.0002236421],"domain_scores_gemma":[0.9966002,0.0008097762,0.0003024903,0.001003002,0.00103289,0.0002516919],"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":[0.0001690515,0.00002569972,0.001870712,0.0008842809,0.00005404318,0.00002793016,0.00002009968,0.0002199693,0.0001015986,0.0008427582,0.9863067,0.009477161],"study_design_scores_gemma":[0.0001763636,0.00002221229,0.003388173,0.0004391097,0.00004370188,0.00009151666,0.00006278635,0.0002846523,0.0002340756,0.001808704,0.993425,0.0000237632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001745698,0.0001473659,0.0001553466,0.0001030901,0.00004893146,0.00003026361,0.9966115,0.0003978477,0.002330971],"genre_scores_gemma":[0.0004724697,0.0001023718,0.000404139,0.0001498156,0.0000121495,0.00009573107,0.9971409,0.00007704476,0.001545391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1536561,"threshold_uncertainty_score":0.5140308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007094923875827133,"score_gpt":0.3630367898936827,"score_spread":0.3559418660178556,"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."}}