{"id":"W3198125366","doi":"10.1111/jth.15520","title":"Influence of body mass index on clinical outcomes in venous thromboembolism: Insights from GARFIELD‐VTE","year":2021,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Kantor Charitable Foundation","keywords":"Medicine; Overweight; Underweight; Body mass index; Internal medicine; Hazard ratio; Prospective cohort study; Obesity; Confidence interval","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":[0.001228203,0.0002864209,0.0005100783,0.0009130043,0.0003140201,0.001113733,0.0003938883,0.000473216,0.0019556],"category_scores_gemma":[0.00665396,0.0001505053,0.0007752292,0.001474898,0.000294336,0.0004424293,0.0006207902,0.001102848,0.0002938966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000445328,"about_ca_system_score_gemma":0.0006713843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005937615,"about_ca_topic_score_gemma":0.007103821,"domain_scores_codex":[0.99929,0.0002801289,0.00005658482,0.00009012579,0.0001581648,0.0001249468],"domain_scores_gemma":[0.9970618,0.001409751,0.0006067845,0.0002613546,0.0002109375,0.0004493104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006085071,0.00009127097,0.9857065,0.00003347012,0.0002667559,0.0001008503,0.00009501855,0.00009519423,0.0001138499,0.00011385,0.0003102427,0.01246438],"study_design_scores_gemma":[0.000009203379,0.00007160436,0.999121,0.00001680975,0.00010032,0.0001101423,0.00006851073,0.0001298748,0.00002579466,0.0001065808,0.0002360931,0.00000413106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917451,0.003529567,0.0001394968,0.0006140487,0.00003478305,0.000008905365,0.0006799726,0.000008318385,0.003239947],"genre_scores_gemma":[0.9980343,0.0009781569,0.0001085379,0.0001074161,0.00007473761,0.000004729634,0.0004389386,0.000005095556,0.0002480105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005937615,"threshold_uncertainty_score":0.01180607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945267323688083,"score_gpt":0.3584037744302565,"score_spread":0.3089511011933757,"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."}}