{"id":"W4200286944","doi":"10.1016/j.thromres.2021.12.010","title":"The association between anticoagulation and adverse outcomes after a positive SARS-CoV-2 test among older outpatients: A population-based cohort study","year":2021,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; Public Health Ontario; Sunnybrook Health Science Centre; Health Sciences Centre; Dalhousie University; Hamilton Health Sciences; University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; McMaster University; Women's College Hospital","funders":"","keywords":"Medicine; Internal medicine; Cohort; Incidence (geometry); Population; Propensity score matching; Warfarin; Cumulative incidence; Cohort study; Absolute risk reduction; Confidence interval; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004334882,0.0001995006,0.0006060574,0.000225359,0.0007155544,0.0001392156,0.0001400367,0.0001438386,0.00003494862],"category_scores_gemma":[0.06729008,0.0001415009,0.0001425982,0.0008870764,0.0002570362,0.0001759793,0.0003859081,0.0007262981,0.00004381878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009649656,"about_ca_system_score_gemma":0.0003181706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840547,"about_ca_topic_score_gemma":0.001065889,"domain_scores_codex":[0.9944163,0.001069446,0.0005741551,0.0006334202,0.00264115,0.0006655271],"domain_scores_gemma":[0.970153,0.02697949,0.0001376304,0.0006122888,0.001958175,0.0001594152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008482402,0.0007458794,0.9971118,0.00007358637,0.0005980575,0.00002223492,0.0004858574,0.000002245248,0.0002111524,0.000004922472,0.0001425932,0.0005168332],"study_design_scores_gemma":[0.001998703,0.0004537432,0.9957587,0.0001509139,0.0002405501,6.888371e-8,0.0003806265,0.0004158067,0.0003529927,0.00007093524,0.00004469748,0.000132224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908847,0.00003440545,0.00002840185,0.006265792,0.00004842451,0.002519162,0.00004971163,0.00004363682,0.0001257642],"genre_scores_gemma":[0.9985819,0.00006993332,0.00004266779,0.0003012329,0.00009096169,0.0003655726,0.00007581244,0.00003138958,0.0004405387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06295519,"threshold_uncertainty_score":0.9405665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0904894019698545,"score_gpt":0.4772600777466304,"score_spread":0.3867706757767759,"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."}}