{"id":"W4402953931","doi":"10.1007/s11739-024-03770-w","title":"Predictors for the prescription of pharmacological prophylaxis for venous thromboembolism during hospitalization in Internal Medicine: a sub-analysis of the FADOI-NoTEVole study","year":2024,"lang":"en","type":"article","venue":"Internal and Emergency Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"Università degli Studi dell'Insubria","keywords":"Medicine; Medical prescription; Observational study; Univariate analysis; Venous thromboembolism; Internal medicine; Multivariate analysis; Emergency medicine; Retrospective cohort study; Logistic regression; Venous thrombosis; Stroke (engine); 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":[0.001601447,0.0004614739,0.0006692995,0.0007991929,0.0002924647,0.0007593033,0.0005983596,0.0005697911,0.0008871893],"category_scores_gemma":[0.00381764,0.0003749934,0.001078166,0.0009027683,0.0002743017,0.0003794043,0.0007208768,0.0007674942,0.0001489816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003743824,"about_ca_system_score_gemma":0.0003697701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005414298,"about_ca_topic_score_gemma":0.00473016,"domain_scores_codex":[0.9990923,0.0003614332,0.0000900791,0.0001843808,0.0001283027,0.000143594],"domain_scores_gemma":[0.9977137,0.0006749802,0.0007444291,0.0003680062,0.000144087,0.0003549031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002369957,0.00004313009,0.9989085,0.0000083758,0.0001133604,0.00003386624,0.00005461474,0.00002043606,0.00005740527,0.00001036958,0.00006678412,0.0004461149],"study_design_scores_gemma":[0.00002135897,0.0001351067,0.9993412,0.000004222762,0.00006402703,0.00007075597,0.0001041316,0.0001408523,0.00001445241,0.000005788463,0.0000961972,0.00000197911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994499,0.0001729389,0.00003047266,0.00002347744,0.000003887458,0.000007845005,0.0001709038,0.000001068253,0.0001395674],"genre_scores_gemma":[0.9993912,0.00006935571,0.00004122394,0.00002262999,0.00001410569,0.00001150842,0.0003729328,0.000001667895,0.00007543871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005414298,"threshold_uncertainty_score":0.01076561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542780910418702,"score_gpt":0.3321805712653816,"score_spread":0.3067527621611946,"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."}}