{"id":"W4251408119","doi":"10.1515/iupac.87.0137","title":"Cervical Vertebra","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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Medicine; Linguistics; Chemistry; Philosophy; Data mining; Organic chemistry","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":[0.000477924,0.001269423,0.001345579,0.003255713,0.0008984854,0.002498619,0.001832339,0.001344985,0.2673908],"category_scores_gemma":[0.007165902,0.0004306946,0.001198377,0.00624644,0.0003488318,0.001686784,0.001631799,0.001387549,0.2291133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585299,"about_ca_system_score_gemma":0.002445246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0305959,"about_ca_topic_score_gemma":0.05120094,"domain_scores_codex":[0.9989022,0.0001299245,0.00022862,0.0004088068,0.0001935957,0.0001367602],"domain_scores_gemma":[0.9974523,0.0006674291,0.0003314706,0.0004137618,0.0009594448,0.0001755605],"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":[0.0001217584,0.0000119095,0.001720937,0.001104746,0.00002735753,0.00003436534,0.00002757851,0.0001171722,0.00007573882,0.0008023977,0.9873216,0.008634555],"study_design_scores_gemma":[0.00008744048,0.00001175866,0.005131197,0.0005859074,0.00002335573,0.0001098591,0.00008851297,0.0001034343,0.0001311072,0.001311702,0.9923976,0.00001818913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001649269,0.0001985608,0.00007469606,0.0001006945,0.00004894629,0.0000187994,0.9950737,0.0002060962,0.004113431],"genre_scores_gemma":[0.001001201,0.0002957772,0.0004033232,0.0002067904,0.00002897606,0.00009963357,0.9937851,0.00009965657,0.004079608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2673908,"threshold_uncertainty_score":0.8945114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532169382560499,"score_gpt":0.4165807553221982,"score_spread":0.3912590614965932,"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."}}