{"id":"W2117983655","doi":"10.1378/chest.10-1944","title":"Predictive and Associative Models to Identify Hospitalized Medical Patients at Risk for VTE","year":2011,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":548,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; Hamilton General Hospital","funders":"University of Massachusetts Medical School","keywords":"Medicine; Pulmonary embolism; Incidence (geometry); Framingham Risk Score; Observational study; Venous thromboembolism; Internal medicine; Cumulative incidence; Medical record; Thrombophilia; Emergency medicine; Thrombosis; Cohort; Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.0006176794,0.0001465571,0.0004076198,0.00009511744,0.000236563,0.00002837706,0.0001079683,0.000109602,0.000228199],"category_scores_gemma":[0.0004760094,0.0001157025,0.0001240403,0.00006970176,0.00005360358,0.0001497454,0.0001390651,0.000223957,0.00001774005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269109,"about_ca_system_score_gemma":0.00006043699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000375502,"about_ca_topic_score_gemma":0.00001383569,"domain_scores_codex":[0.9985867,0.0000507379,0.0003169719,0.0002230055,0.0005136881,0.0003089154],"domain_scores_gemma":[0.9987609,0.00006793851,0.0002243706,0.0001171933,0.0002705284,0.0005590999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001840951,0.004119615,0.7769656,0.0003119356,0.003192252,0.000148337,0.05682007,0.00001447246,0.00005482241,0.0009929098,0.1278412,0.0276979],"study_design_scores_gemma":[0.004225306,0.001450538,0.9862641,0.0001816254,0.0005103925,0.0000140795,0.0004006369,0.0004836255,0.0001753866,0.00410512,0.002046959,0.0001423075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873855,0.000147667,0.007592697,0.0005149632,0.0004137598,0.0008075944,0.00004284155,0.00002380532,0.003071141],"genre_scores_gemma":[0.9951892,0.0008756113,0.002521745,0.0008044419,0.000257948,0.00007799975,0.00001116842,0.00002830235,0.0002335242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2092985,"threshold_uncertainty_score":0.4718211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383941226431381,"score_gpt":0.30137449309669,"score_spread":0.2629803704535518,"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."}}