{"id":"W2116355968","doi":"10.1186/cc1066","title":"Prevention and diagnosis of venous thromboembolism in critically ill patients: a Canadian survey","year":2001,"lang":"en","type":"article","venue":"Critical Care","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; University of Saskatchewan; University of Alberta; University of Ottawa; McMaster University","funders":"","keywords":"Medicine; Pulmonary embolism; Intensive care unit; Population; Emergency medicine; Low molecular weight heparin; Spiral computed tomography; Intensive care; Mechanical ventilation; Intensive care medicine; Thrombosis; Internal medicine; Radiology; Computed tomography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001994424,0.0001502288,0.000558377,0.0002165058,0.00006423544,0.00002285995,0.00007554219,0.0001241075,0.000260946],"category_scores_gemma":[0.003169255,0.0001504441,0.00006618203,0.0002414557,0.0001751445,0.00009239879,0.00005173725,0.0001490349,0.000011771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653803,"about_ca_system_score_gemma":0.0001456886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04861069,"about_ca_topic_score_gemma":0.1244602,"domain_scores_codex":[0.9985655,0.000106486,0.0003382124,0.0003084536,0.0002448499,0.0004364895],"domain_scores_gemma":[0.9978526,0.000214552,0.0000203448,0.0002342678,0.001293689,0.0003845481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003527906,0.001475918,0.9689347,0.0006464929,0.00003264973,0.0001280106,0.001039226,8.799644e-7,0.000006269726,0.004940397,0.001220142,0.02154006],"study_design_scores_gemma":[0.000833625,0.000839553,0.9939932,0.0002854521,0.0001497403,0.000005203415,0.001118336,0.000009497749,0.00004580801,0.0005969986,0.001974954,0.0001476858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898512,0.001181323,0.00001948602,0.002074204,0.0001654677,0.0005501328,0.00008496568,0.00001893249,0.006054262],"genre_scores_gemma":[0.9964164,0.0003746751,0.0002006678,0.002725594,0.00004391532,0.00008346142,0.0001160757,0.00002363165,0.00001552212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07584947,"threshold_uncertainty_score":0.9577247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245161298295941,"score_gpt":0.3108995093724936,"score_spread":0.2863833795428994,"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."}}