{"id":"W4254605929","doi":"10.1016/b978-1-4160-6110-6.10155-6","title":"Case 155","year":2010,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Computer science","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":[0.0001892737,0.001121819,0.0005015346,0.002267117,0.001366868,0.001566077,0.00106895,0.003560325,0.1381058],"category_scores_gemma":[0.0008210717,0.0004005861,0.0006435866,0.0009588978,0.001025029,0.001528732,0.001796376,0.002911022,0.04602538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071862,"about_ca_system_score_gemma":0.0005287998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632117,"about_ca_topic_score_gemma":0.004514345,"domain_scores_codex":[0.9998111,0.00001925396,0.00001468703,0.00005023885,0.00005629222,0.00004851231],"domain_scores_gemma":[0.999873,0.0000321662,0.00001105929,0.00002179282,0.00002026253,0.00004166159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00006214013,0.000129788,0.002004572,0.0002295337,0.00002666857,0.4513817,0.0004151222,0.0003928029,0.00246083,0.04275209,0.3769063,0.1232383],"study_design_scores_gemma":[0.00001085495,0.00002606396,0.001096371,0.0002467005,0.00001213128,0.2696304,0.0002319514,0.0001396097,0.0003037,0.008559654,0.7197289,0.00001373962],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00524383,0.006264783,0.001150996,0.006016891,0.004097557,0.00006716704,0.0001801239,0.000144588,0.976834],"genre_scores_gemma":[0.05640854,0.006791248,0.002727995,0.006707908,0.00315979,0.000102499,0.0004083087,0.0001829154,0.9235107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1381058,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336440664745709,"score_gpt":0.2893399032764934,"score_spread":0.2559754966290363,"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."}}