{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01141322,0.0008292889,0.004875248,0.00104797,0.0004668563,0.00005842511,0.0008000485,0.0007972396,0.00005505928],"category_scores_gemma":[0.0009968496,0.000543894,0.0009063241,0.001104857,0.0003241089,0.0001690239,0.0005224543,0.001524882,0.00002452128],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003649999,"about_ca_system_score_gemma":0.007450513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002070117,"about_ca_topic_score_gemma":0.00003470263,"domain_scores_codex":[0.992452,0.001159342,0.002188678,0.001267597,0.002020323,0.0009120514],"domain_scores_gemma":[0.9935655,0.001022498,0.002242975,0.001952223,0.001054151,0.0001626449],"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":[0.00000361938,0.002064715,0.00001250008,0.03280862,0.002461203,0.00000401634,0.0001523283,0.00005083278,1.026116e-7,0.01530354,0.006972268,0.9401662],"study_design_scores_gemma":[0.001483071,0.009134814,0.001043655,0.1486128,0.1202291,0.00006109616,0.001858086,0.0157867,0.000005100668,0.03282119,0.6675765,0.001387916],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001152267,0.9674808,0.003723885,0.00765195,0.00149817,0.01848647,0.000288836,0.0002989147,0.0004557172],"genre_scores_gemma":[0.01249347,0.9617273,0.004999399,0.000218266,0.0001842171,0.02008909,0.0001040283,0.0001616097,0.00002257653],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9387783,"threshold_uncertainty_score":0.9997013,"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."}}