{"id":"W4392059303","doi":"10.1136/bmjmed-2022-000408","title":"Effectiveness and cost effectiveness of pharmacological thromboprophylaxis for medical inpatients: decision analysis modelling study","year":2024,"lang":"en","type":"article","venue":"BMJ Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Health Technology Assessment Programme; National Institute for Health and Care Research; Barts Charity","keywords":"Medicine; Emergency medicine; Risk assessment; Intensive care medicine; Psychological intervention; Cohort; Population; Confidence interval; Incidence (geometry); 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":[0.006243048,0.002554138,0.003009333,0.001534526,0.0004625822,0.002227704,0.001654187,0.002813556,0.005166241],"category_scores_gemma":[0.02788702,0.001022608,0.003918812,0.00107147,0.0007785537,0.001478636,0.001234077,0.001874606,0.0002801664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006432587,"about_ca_system_score_gemma":0.003231077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192204,"about_ca_topic_score_gemma":0.005625057,"domain_scores_codex":[0.9946972,0.003927996,0.0001594565,0.0003600749,0.0002697104,0.0005854651],"domain_scores_gemma":[0.9644451,0.03109045,0.002135734,0.0004782145,0.0007006977,0.001149823],"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":[0.006177623,0.001458086,0.01110184,0.0006227696,0.001564247,0.0002400029,0.0000994858,0.9603072,0.0003375993,0.003940044,0.001179622,0.01297145],"study_design_scores_gemma":[0.001426331,0.002380515,0.004242311,0.0002164673,0.0008749136,0.0001808105,0.0001060788,0.9852707,0.0003287312,0.004202899,0.0007031852,0.00006693909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954482,0.002715601,0.02610941,0.002680869,0.0001283832,0.001236238,0.002506496,0.00008896409,0.01005218],"genre_scores_gemma":[0.9927503,0.000713084,0.004546843,0.0002232246,0.00004237677,0.0004706582,0.0004139105,0.00001220935,0.0008273718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192204,"threshold_uncertainty_score":0.04667193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229472777484731,"score_gpt":0.414143174910548,"score_spread":0.3718484471357006,"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."}}