{"id":"W2140302564","doi":"10.1186/cc8980","title":"Prophylactic anticoagulation to prevent venous thromboembolism in traumatic intracranial hemorrhage: a decision analysis","year":2010,"lang":"en","type":"article","venue":"Critical Care","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; University of British Columbia; Health Sciences Centre; Mount Sinai Hospital; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pulmonary embolism; Bleed; Thrombosis; Deep vein; Intensive care medicine; Low molecular weight heparin; Randomized controlled trial; Anticoagulant; Anesthesia; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01215363,0.002239184,0.003424259,0.002638677,0.0007257098,0.002570361,0.001655514,0.002272436,0.005404875],"category_scores_gemma":[0.02034752,0.001303977,0.003385516,0.001555609,0.0009662203,0.001463821,0.001340372,0.002254802,0.0002655914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00455119,"about_ca_system_score_gemma":0.00497724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215201,"about_ca_topic_score_gemma":0.005343436,"domain_scores_codex":[0.9915167,0.006964072,0.000166135,0.0004996732,0.0004043711,0.0004490307],"domain_scores_gemma":[0.9561179,0.04124819,0.001214704,0.0001775624,0.0006430513,0.0005986234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000586264,0.0001090591,0.002409373,0.0001639522,0.0005470591,0.00009602468,0.00002570049,0.989318,0.00008570123,0.002992444,0.0003348335,0.003331613],"study_design_scores_gemma":[0.0002166683,0.0003257027,0.0007587787,0.00007560349,0.0003800038,0.00006586737,0.0000209438,0.9914607,0.00008658623,0.006201737,0.000384691,0.00002276407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6970236,0.00722909,0.2681844,0.007647884,0.0002887305,0.001660446,0.003526611,0.0002280703,0.01421124],"genre_scores_gemma":[0.9630777,0.001828565,0.03024888,0.0005769011,0.0001309787,0.0007393885,0.0005926813,0.00002542205,0.002779493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215363,"threshold_uncertainty_score":0.06427526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896816778846235,"score_gpt":0.3297546431713372,"score_spread":0.3107864753828749,"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."}}