{"id":"W4239223488","doi":"10.1503/cmaj.1040382","title":"Corrections","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008401887,0.001918843,0.001129376,0.005382313,0.003103644,0.005215832,0.003266873,0.004818813,0.1806705],"category_scores_gemma":[0.1726581,0.001039211,0.001849655,0.003162173,0.002083376,0.00322819,0.002745733,0.008871112,0.1112772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005262919,"about_ca_system_score_gemma":0.007591587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439079,"about_ca_topic_score_gemma":0.0201402,"domain_scores_codex":[0.9838489,0.002984146,0.002349227,0.001737448,0.008135577,0.0009446281],"domain_scores_gemma":[0.8725746,0.02570804,0.005122312,0.00689994,0.08671084,0.00298433],"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":[0.00001543334,0.000002391997,0.00003959491,0.00004709447,0.000003941792,0.00006282872,0.00003152635,0.00001860782,0.00003028395,0.001002517,0.9926943,0.006051446],"study_design_scores_gemma":[0.00001626208,0.000008135999,0.0002875057,0.0001687864,0.00001043266,0.0002341182,0.00006589949,0.00007003541,0.0001089543,0.00138586,0.9976268,0.00001713759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000253765,0.001049688,0.00323923,0.1241894,0.8487914,0.0001377417,0.003675533,0.001564739,0.0170985],"genre_scores_gemma":[0.01465598,0.004865646,0.01480686,0.1587016,0.2398211,0.0006922588,0.008318105,0.00574475,0.5523937],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1806705,"threshold_uncertainty_score":0.6044032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006272678842282943,"score_gpt":0.2367707130361404,"score_spread":0.2304980341938575,"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."}}