{"id":"W2494843548","doi":"10.1016/j.clinthera.2016.07.002","title":"Hospitalizations and Other Health Care Resource Utilization Among Patients with Deep Vein Thrombosis Treated with Rivaroxaban Versus Low-molecular-weight Heparin and Warfarin in the Outpatient Setting","year":2016,"lang":"en","type":"article","venue":"Clinical Therapeutics","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Medicine; Rivaroxaban; Warfarin; Deep vein; Thrombosis; Heparin; Low molecular weight heparin; Anticoagulant; Intensive care medicine; Emergency medicine; Internal medicine; Atrial fibrillation","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":[0.0002909508,0.0002101461,0.0004051942,0.00006689946,0.0001382251,0.00004010037,0.00009552362,0.0001057737,0.000008145885],"category_scores_gemma":[0.00005577826,0.0001076101,0.00004129874,0.0002209379,0.0002752579,0.00006277594,0.00005620256,0.0001472903,0.000001160114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008259193,"about_ca_system_score_gemma":0.00003875584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006860452,"about_ca_topic_score_gemma":0.0002650938,"domain_scores_codex":[0.998324,0.000262642,0.000436907,0.0003971684,0.0002980057,0.0002812867],"domain_scores_gemma":[0.9989241,0.0002738831,0.0002032722,0.0003684036,0.0001140754,0.0001162204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002501437,0.00092948,0.9711406,0.00004997175,0.0001893751,0.000002081606,0.002262074,0.00000654203,8.072814e-7,0.0003785565,0.0000524116,0.024738],"study_design_scores_gemma":[0.00707597,0.003114922,0.9850665,0.0003222597,0.000270266,2.435055e-7,0.0007444997,0.0001054006,0.00001550521,0.00001457025,0.003099839,0.0001699647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959717,0.0002865867,0.0005592554,0.00136973,0.00004063269,0.001212733,0.00001401773,0.00003706305,0.0005083053],"genre_scores_gemma":[0.9960128,0.000358872,0.0002852074,0.003156252,0.00003049169,0.00004320612,0.00005804334,0.00004530866,0.000009797397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02456803,"threshold_uncertainty_score":0.4388214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398863166570977,"score_gpt":0.3406257140647052,"score_spread":0.2966370823989954,"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."}}