{"id":"W2548072924","doi":"10.1016/j.chest.2016.10.025","title":"Development of a Risk Prediction Score for Occult Cancer in Patients With VTE","year":2016,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Occult; Internal medicine; Cancer; Cohort; Lung cancer; Pathology","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":[0.002770531,0.0008946783,0.001113866,0.002792663,0.0005382308,0.001502981,0.0007008698,0.0007902868,0.001063417],"category_scores_gemma":[0.01179083,0.0003287748,0.001200895,0.001167728,0.0002270044,0.001091269,0.0009805257,0.001332468,0.0003066963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809472,"about_ca_system_score_gemma":0.001485723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733645,"about_ca_topic_score_gemma":0.004006147,"domain_scores_codex":[0.9985501,0.0004033839,0.0002819473,0.0001170277,0.0005025243,0.0001449065],"domain_scores_gemma":[0.9958141,0.001623818,0.0007271853,0.0001216287,0.001363778,0.0003493956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002745795,0.0001836934,0.9722542,0.00003304175,0.0001767492,0.00009358121,0.00005389144,0.001027691,0.0001931254,0.0002021254,0.001202593,0.02430485],"study_design_scores_gemma":[0.0003075255,0.001281918,0.9057528,0.0001611365,0.0009326778,0.001046647,0.0004958157,0.08362938,0.00154857,0.001430885,0.003350208,0.00006245769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815412,0.001065311,0.009749117,0.001469211,0.000277435,0.0004147176,0.0009809154,0.0001505268,0.004351613],"genre_scores_gemma":[0.9877229,0.0003038109,0.009882829,0.0001062669,0.0001159731,0.0001610769,0.001185136,0.00001266102,0.0005093195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002792663,"threshold_uncertainty_score":0.01465213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708684962042638,"score_gpt":0.2549573404433232,"score_spread":0.2378704908228968,"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."}}