{"id":"W3043109384","doi":"10.1101/2020.07.17.20153718","title":"RISK FACTORS FOR THE DEVELOPMENT OF HOSPITAL-ACQUIRED PEDIATRIC VENOUS THROMBOEMBOLISM: DEALING WITH POTENTIALLY CAUSAL AND CONFOUNDING RISK FACTORS USING DIRECTED ACYCLIC GRAPH (DAG) ANALYSIS","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Universidade Federal do Rio de Janeiro","keywords":"Medicine; Confounding; Directed acyclic graph; Venous thromboembolism; Logistic regression; Central venous catheter; Internal medicine; Surgery; Catheter; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004390598,0.0008109833,0.0006335014,0.003265529,0.0003666549,0.0009725884,0.0007944378,0.0004053181,0.002311767],"category_scores_gemma":[0.01465173,0.0003109596,0.001861988,0.002315712,0.0003144158,0.0007901257,0.0005864511,0.0006214476,0.0001251143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006493835,"about_ca_system_score_gemma":0.001539663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007630264,"about_ca_topic_score_gemma":0.0062452,"domain_scores_codex":[0.9969774,0.002111631,0.0001960415,0.0004062321,0.0001709847,0.0001376252],"domain_scores_gemma":[0.987231,0.01059671,0.001159557,0.0004203647,0.0004166787,0.0001757249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006620359,0.0002146309,0.8472244,0.0006793985,0.002088491,0.0005576229,0.0003319153,0.04330411,0.0006329271,0.005334624,0.001919695,0.09705024],"study_design_scores_gemma":[0.0001602569,0.0006729476,0.2405834,0.0003812722,0.00390058,0.001315589,0.0009637714,0.7011551,0.001141644,0.04333838,0.006281386,0.0001055751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.619095,0.002960218,0.3695025,0.00106913,0.0001143593,0.0005637689,0.004634981,0.0005178701,0.001542131],"genre_scores_gemma":[0.9215626,0.0007738409,0.07494123,0.00005149656,0.0000388436,0.0002471479,0.001971122,0.00002814807,0.0003855304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007630264,"threshold_uncertainty_score":0.02322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425960537773111,"score_gpt":0.2928888251280815,"score_spread":0.2502927713507703,"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."}}