{"id":"W4236440409","doi":"10.1093/med/9780199549573.002.20010","title":"Contributors","year":2010,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"University hospital; Medicine; Management; Library science; Radiology; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007012853,0.0006982327,0.0004877402,0.001847816,0.001613146,0.004158565,0.001096566,0.00131631,0.6081071],"category_scores_gemma":[0.004327545,0.000217173,0.0002988982,0.001603814,0.0003765943,0.002657233,0.002438829,0.001167611,0.3855327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263521,"about_ca_system_score_gemma":0.001591077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506421,"about_ca_topic_score_gemma":0.002841341,"domain_scores_codex":[0.9993191,0.00008815443,0.00003384657,0.00009198205,0.0003792157,0.00008781954],"domain_scores_gemma":[0.9976235,0.0002611512,0.00006603673,0.0001844317,0.001319073,0.0005458117],"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":[0.00001148885,0.00000900033,0.00007458836,0.00005681314,9.329228e-7,0.00004546958,0.00005361332,0.00001907324,0.00005750784,0.004090164,0.9373983,0.05818312],"study_design_scores_gemma":[0.000001050776,0.000002274893,0.00007618251,0.00003431092,4.244824e-7,0.00004764321,0.0000491747,0.000006253298,0.0000169426,0.0004505515,0.9993141,0.000001055074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007811505,0.00524933,0.001332976,0.01335493,0.03746988,0.0001868166,0.002746619,0.0007319837,0.9381464],"genre_scores_gemma":[0.001620646,0.001466149,0.0004861258,0.002053604,0.002364874,0.00004730562,0.00109745,0.0001550192,0.9907088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3918929,"threshold_uncertainty_score":0.5589876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424941030054122,"score_gpt":0.2054313684017929,"score_spread":0.1911819581012517,"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."}}