{"id":"W4246571706","doi":"10.1515/iupac.79.1742","title":"Osteogenesis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; 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":[0.001287335,0.001693395,0.002016001,0.003322785,0.0008798044,0.003045668,0.002931426,0.002044193,0.1199891],"category_scores_gemma":[0.009877364,0.0006791753,0.002628138,0.005317305,0.0003749444,0.001300396,0.002051967,0.001888445,0.1164916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170958,"about_ca_system_score_gemma":0.003439706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104682,"about_ca_topic_score_gemma":0.03015849,"domain_scores_codex":[0.9985502,0.0002345368,0.0002710773,0.0004399497,0.0003290048,0.0001752022],"domain_scores_gemma":[0.9969092,0.0009531706,0.0004487197,0.0007049603,0.000712977,0.0002710174],"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":[0.0003547463,0.00003474129,0.002515136,0.004855008,0.0001717874,0.00004525518,0.00003864934,0.0003167972,0.0002829954,0.0006954942,0.9786893,0.01200016],"study_design_scores_gemma":[0.0006468997,0.00004933442,0.006254225,0.001684606,0.0002016432,0.0001945929,0.00006171109,0.0002274345,0.0003750662,0.001546712,0.9887199,0.00003781945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001483415,0.0003477389,0.00009012987,0.00007879303,0.0000333928,0.00002557928,0.9981304,0.0002018075,0.0009438925],"genre_scores_gemma":[0.0005391398,0.0003497422,0.00048786,0.0001959041,0.00001785241,0.0002080085,0.99706,0.00006907801,0.001072368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1199891,"threshold_uncertainty_score":0.4014035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795109648539867,"score_gpt":0.4245073149696628,"score_spread":0.3965562184842641,"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."}}