{"id":"W2003812647","doi":"10.1097/01.ccm.0000171207.95319.b2","title":"Deep venous thrombosis in medical-surgical critically ill patients: Prevalence, incidence, and risk factors","year":2005,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":435,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Hazard ratio; Intensive care unit; Confidence interval; Venous thrombosis; Intensive care; Cohort study; Thrombosis; Surgery; Intensive care medicine; 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":[0.0003845039,0.0002264475,0.0002936843,0.0004646203,0.0002784966,0.0005208752,0.000225357,0.0004783695,0.001235645],"category_scores_gemma":[0.002020625,0.000165219,0.0001545836,0.0005733925,0.000246316,0.0003987715,0.0003164107,0.0004147736,0.0001268821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675541,"about_ca_system_score_gemma":0.0002040303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061373,"about_ca_topic_score_gemma":0.001158729,"domain_scores_codex":[0.9996685,0.00009671411,0.00003987745,0.00005884632,0.0000670073,0.00006906963],"domain_scores_gemma":[0.9987425,0.0003159534,0.0006058672,0.00003545652,0.00008973542,0.0002104476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005571539,0.00002575847,0.9991541,0.000006566032,0.000007269467,0.00005276536,0.00001783994,0.00001507086,0.0000568521,0.000004932065,0.00003223342,0.000570805],"study_design_scores_gemma":[0.00001390627,0.0001711587,0.9985626,0.00001170608,0.00001182143,0.0007793934,0.0001280691,0.0001909806,0.00003935395,0.00001866853,0.00006953547,0.000002784816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995589,0.0001722991,0.00003432597,0.00003963692,0.000001916724,0.00000482783,0.00009139669,0.000001108693,0.00009573861],"genre_scores_gemma":[0.9995659,0.0001199738,0.00006395335,0.00001790404,0.00001415685,0.000007572066,0.0001810769,3.330613e-7,0.00002923391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001235645,"threshold_uncertainty_score":0.004133582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350040515261359,"score_gpt":0.3117086790340479,"score_spread":0.2982082738814343,"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."}}