{"id":"W1988270390","doi":"10.1503/cmaj.1050017","title":"Case summaries: another method","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Space (punctuation); Data science; World Wide Web; Data mining","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":[0.02130793,0.0017834,0.001351451,0.02044441,0.002449753,0.007395572,0.003314523,0.002747469,0.03975844],"category_scores_gemma":[0.09001064,0.000757026,0.002931206,0.009687648,0.002533794,0.007354908,0.00444102,0.002814103,0.008426071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187594,"about_ca_system_score_gemma":0.004309146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002885632,"about_ca_topic_score_gemma":0.003034272,"domain_scores_codex":[0.9698224,0.01348691,0.005435144,0.004650024,0.00596396,0.0006415445],"domain_scores_gemma":[0.9384724,0.03785795,0.00378069,0.008861841,0.009663765,0.001363392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007844836,0.0002959985,0.01118939,0.002956029,0.0006257133,0.00138864,0.00329337,0.001326305,0.003526261,0.1385122,0.113514,0.7225876],"study_design_scores_gemma":[0.0007760186,0.0003984578,0.008011902,0.002602758,0.001286137,0.01338415,0.00583887,0.0293749,0.01004069,0.3232413,0.6045445,0.0005002945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008947833,0.002984207,0.9216545,0.009665245,0.003371617,0.007503645,0.00821319,0.003686134,0.03397365],"genre_scores_gemma":[0.0856515,0.001541323,0.8815579,0.001740166,0.001119214,0.003932259,0.003977752,0.0006143229,0.01986562],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03975844,"threshold_uncertainty_score":0.1330053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176353240260225,"score_gpt":0.2775144238025777,"score_spread":0.2657508913999754,"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."}}