{"id":"W2341839070","doi":"10.1182/blood-2015-11-682963","title":"Risk factors predictive of occult cancer detection in patients with unprovoked venous thromboembolism","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; University of Ottawa; McGill University; Ottawa Hospital; CancerCare Manitoba; Queen Elizabeth II Health Sciences Centre; St Mary's Hospital Centre; Western University; St. Joseph’s Healthcare Hamilton; Montreal General Hospital; University of Manitoba; Dalhousie University; Jewish General Hospital","funders":"","keywords":"Medicine; Venous thromboembolism; Occult; Internal medicine; Cancer; Predictive value; Intensive care medicine; Pathology; Thrombosis","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":[0.0008396951,0.000213327,0.0005612013,0.0002288147,0.0001164575,0.0004561559,0.0002193496,0.0003781345,0.00111274],"category_scores_gemma":[0.004262493,0.0001697461,0.0005469071,0.0004803904,0.0001721911,0.0002614684,0.0002047824,0.0005784368,0.00005129319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771286,"about_ca_system_score_gemma":0.0003704602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007261076,"about_ca_topic_score_gemma":0.001819689,"domain_scores_codex":[0.9995258,0.000257548,0.00003897217,0.00005672089,0.00006653629,0.00005448909],"domain_scores_gemma":[0.9975833,0.001365838,0.0007153191,0.00007556712,0.00006490078,0.00019502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03937713,0.0009127471,0.9047469,0.0008773381,0.001627416,0.0001664487,0.00007785278,0.0006394377,0.0008085196,0.0001672969,0.001037141,0.04956177],"study_design_scores_gemma":[0.003285909,0.005126002,0.9852523,0.0002060682,0.001761734,0.0003378463,0.00005505647,0.002079341,0.0003675908,0.0003902854,0.001119722,0.00001817448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881512,0.01031706,0.0001954926,0.0002147309,0.00004817931,0.00005148164,0.0002837981,0.000004301597,0.0007337998],"genre_scores_gemma":[0.9982256,0.001159949,0.0001189088,0.00005207311,0.00006245806,0.00002116037,0.0002336001,8.903422e-7,0.0001252588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111274,"threshold_uncertainty_score":0.004440784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005974464126956181,"score_gpt":0.2185004606623469,"score_spread":0.2125259965353907,"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."}}