{"id":"W1989077416","doi":"10.1007/s11739-013-0944-8","title":"Prophylaxis of venous thromboembolism in elderly patients with multimorbidity","year":2013,"lang":"en","type":"article","venue":"Internal and Emergency Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Medical prescription; Logistic regression; Internal medicine; Emergency medicine; Venous thromboembolism; Mortality rate; Polypharmacy; Multivariate analysis; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001136446,0.0001726043,0.0006486651,0.0001678152,0.00002571768,0.000002159248,0.00008953236,0.00005365822,0.00220968],"category_scores_gemma":[0.00006800926,0.0001060465,0.00003903107,0.0001779237,0.000127437,0.00009605616,0.00004948894,0.000163847,0.00002197439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002480855,"about_ca_system_score_gemma":0.00001475791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007512973,"about_ca_topic_score_gemma":0.0001586743,"domain_scores_codex":[0.9986829,0.00002286263,0.0004820804,0.0002467841,0.000329277,0.0002361089],"domain_scores_gemma":[0.9992974,0.00001692548,0.0001312573,0.0001970632,0.0002191935,0.0001381343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001518404,0.002455287,0.9412335,0.0005835023,0.0002331744,0.00002030423,0.001918718,0.000003391079,0.001185426,0.0001682921,0.008196808,0.04384974],"study_design_scores_gemma":[0.002146892,0.005074356,0.9903703,0.0005328148,0.00008615329,0.000003417784,0.0001937238,0.0000489706,0.0001545871,0.0002699481,0.001007128,0.0001116784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932314,0.0004661889,0.00003807581,0.0005999663,0.0004822842,0.0007137609,0.000003637224,0.00001691291,0.0044478],"genre_scores_gemma":[0.998599,0.0006218508,0.0001071699,0.00008688559,0.0001437233,0.00005034422,0.00001247892,0.00001711863,0.0003614328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04913682,"threshold_uncertainty_score":0.9990961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378151316440459,"score_gpt":0.2612848578661759,"score_spread":0.2475033447017713,"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."}}