{"id":"W2134024367","doi":"10.1378/chest.11-2289","title":"Approach to Outcome Measurement in the Prevention of Thrombosis in Surgical and Medical Patients","year":2012,"lang":"en","type":"review","venue":"CHEST Journal","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; Jewish General Hospital; St. Joseph's Hospital; McMaster University","funders":"LEO Pharma; Eisai Canada; Octapharma; Sanofi; Bayer HealthCare; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; CSL Behring; Eisai; GlaxoSmithKline; Daiichi-Sankyo; National Heart, Lung, and Blood Institute; Pfizer","keywords":"Medicine; Asymptomatic; Antithrombotic; Randomized controlled trial; Clinical trial; Thrombosis; Intensive care medicine; Placebo; Surgery; Internal medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004421033,0.0002442631,0.001739749,0.0003293678,0.00003513511,0.00002371147,0.0002485315,0.000218395,0.00006585125],"category_scores_gemma":[0.0002233169,0.0001373153,0.0002764873,0.0003128576,0.00004532121,0.00005395997,0.0001087543,0.0007504192,0.000007054397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666347,"about_ca_system_score_gemma":0.0001649887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001896523,"about_ca_topic_score_gemma":0.00001699813,"domain_scores_codex":[0.9966324,0.000377217,0.001127819,0.0002085729,0.001340706,0.0003132611],"domain_scores_gemma":[0.9990655,0.00007284662,0.0003298874,0.0002206681,0.00007376841,0.0002373495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000103096,0.005009993,0.01402502,0.01661393,0.0002074522,0.00002827942,0.0008201972,2.862435e-7,3.682842e-8,0.0002198307,0.0004818471,0.9625828],"study_design_scores_gemma":[0.001405188,0.0002725392,0.1365015,0.01513113,0.001263018,0.0001647709,0.0001434997,0.000001161318,1.066645e-7,0.00002160614,0.8449122,0.0001832258],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0027611,0.9927463,0.00003415775,0.000233878,0.0002113747,0.001540561,0.000002052225,0.000003827666,0.002466784],"genre_scores_gemma":[0.0225765,0.9767544,0.0001893833,0.0000816903,0.000242853,0.000105912,0.00001325152,0.00002337462,0.0000125984],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9623996,"threshold_uncertainty_score":0.5599555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2051992256720754,"score_gpt":0.391553352619136,"score_spread":0.1863541269470607,"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."}}