{"id":"W4394920412","doi":"10.3310/awtw6200","title":"Evaluation of venous thromboembolism risk assessment models for hospital inpatients: the VTEAM evidence synthesis","year":2024,"lang":"en","type":"review","venue":"Health Technology Assessment","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"Health Technology Assessment Programme; National Institute for Health and Care Research; Department of Health and Social Care; National Institute for Health and Care Excellence; Pfizer","keywords":"Medicine; Venous thromboembolism; Intensive care medicine; Risk assessment; Emergency medicine; Internal medicine; Thrombosis","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":[0.07917072,0.003046618,0.009512116,0.004990797,0.0004356609,0.006418431,0.004364737,0.003468844,0.005882909],"category_scores_gemma":[0.2542588,0.001642069,0.02228204,0.003542504,0.0007824174,0.002585993,0.001629604,0.00302239,0.000555242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007570797,"about_ca_system_score_gemma":0.01055722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008517937,"about_ca_topic_score_gemma":0.008215348,"domain_scores_codex":[0.9253724,0.05382403,0.01231204,0.002025047,0.005926444,0.0005401078],"domain_scores_gemma":[0.6984393,0.2717567,0.01659634,0.003933984,0.008592489,0.0006811998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.003565705,0.0002510939,0.005723629,0.6558949,0.1233955,0.0001905061,0.0002695667,0.04453054,0.0001694797,0.004876966,0.003754883,0.1573772],"study_design_scores_gemma":[0.004698099,0.002937565,0.007640081,0.6136974,0.2792542,0.0003956158,0.0003160289,0.05269711,0.0007010064,0.0161988,0.02122833,0.0002357446],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01480219,0.9279388,0.03569498,0.004592638,0.0007572925,0.006324221,0.00584305,0.0002655402,0.003781302],"genre_scores_gemma":[0.442344,0.4733689,0.06583327,0.002387888,0.0005536409,0.01039425,0.004276457,0.0001156447,0.0007260633],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.07917072,"threshold_uncertainty_score":0.4186998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298930220978065,"score_gpt":0.4836751793425385,"score_spread":0.3537821572447319,"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."}}