{"id":"W4230670577","doi":"10.1007/978-3-662-46875-3_856","title":"Cardiac Tumors","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Cardiac Tumors; Medicine; Computer science; Internal medicine","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":[0.0001503901,0.000624971,0.0003304289,0.001022576,0.0005561305,0.001239043,0.0004654983,0.0008351273,0.08665243],"category_scores_gemma":[0.0005685827,0.0001923247,0.0002663356,0.0006206902,0.0005143091,0.001156795,0.001024958,0.001855108,0.03773711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005490567,"about_ca_system_score_gemma":0.0007496822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008278093,"about_ca_topic_score_gemma":0.003293152,"domain_scores_codex":[0.9999018,0.00001273211,0.000003730372,0.00001531492,0.00005443192,0.00001199253],"domain_scores_gemma":[0.9998871,0.00003594457,0.000006149274,0.00001109485,0.00003357622,0.00002602239],"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":[0.00001092169,0.00003860022,0.00008452468,0.0001674892,0.000003780886,0.0002448423,0.0001328368,0.0002454506,0.0007001041,0.0352056,0.67067,0.2924959],"study_design_scores_gemma":[0.000001559297,0.000004824863,0.00007301106,0.0001072962,0.000001631327,0.0004946585,0.0000197205,0.00003372584,0.00008166127,0.004737496,0.994442,0.000002338647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006812816,0.04137944,0.003740551,0.003404273,0.006104907,0.00004462131,0.0001495199,0.000207995,0.9442874],"genre_scores_gemma":[0.003057831,0.02366998,0.001620653,0.002378487,0.002324637,0.00003129527,0.0001704752,0.00008881892,0.9666578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08665243,"threshold_uncertainty_score":0.2898812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170798274482636,"score_gpt":0.2326027364765282,"score_spread":0.2208947537317018,"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."}}