{"id":"W4310063611","doi":"10.1016/j.thromres.2022.11.016","title":"36-month clinical outcomes of patients with venous thromboembolism: GARFIELD-VTE","year":2022,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; McMaster University","funders":"Servier; Daiichi-Sankyo; Medtronic; Alnylam Pharmaceuticals; National Heart, Lung, and Blood Institute; Pfizer; Heart and Stroke Foundation of Canada; GlaxoSmithKline; Amgen; Pharmaceuticals Bayer; AstraZeneca; Bristol-Myers Squibb; Bayer; Bayer HealthCare; Sanofi; Canadian Institutes of Health Research; American Heart Association","keywords":"Venous thromboembolism; Medicine; Intensive care medicine; Internal medicine; Cardiology; Thrombosis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001383596,0.0003036344,0.0004929406,0.0009829726,0.0003248633,0.0007213214,0.0004268751,0.0005182503,0.001173944],"category_scores_gemma":[0.005452578,0.0001609738,0.0006501578,0.001575326,0.0003221136,0.0009048984,0.0007514331,0.0007882644,0.0003073191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005253397,"about_ca_system_score_gemma":0.0003730022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972748,"about_ca_topic_score_gemma":0.002737606,"domain_scores_codex":[0.9989153,0.0002542455,0.0002033504,0.0002354611,0.0002295835,0.0001620617],"domain_scores_gemma":[0.9927117,0.0005418675,0.005423351,0.0002360111,0.0004040117,0.0006831371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001032981,0.00002150149,0.998817,0.00001275627,0.0000406401,0.00002844842,0.00003874704,0.00005959284,0.00001878782,0.00001012493,0.0001344259,0.0007147097],"study_design_scores_gemma":[0.00001098556,0.0001192739,0.9992519,0.00001021035,0.00002363109,0.0002169217,0.00005798926,0.00008397619,0.00002415707,0.00002937097,0.0001669152,0.000004730565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956338,0.000723775,0.0001203384,0.0001428275,0.00001017247,0.0000217493,0.002719141,0.000008602454,0.0006195826],"genre_scores_gemma":[0.9975993,0.0001639041,0.00008228125,0.00003343706,0.00001817634,0.00001397562,0.002000483,0.000001560818,0.00008686961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972748,"threshold_uncertainty_score":0.007317305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09835561356561608,"score_gpt":0.4156763352204403,"score_spread":0.3173207216548243,"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."}}