{"id":"W2284558146","doi":"10.2450/2015.0277-14","title":"The impact of deep vein thrombosis in critically ill patients: a meta-analysis of major clinical outcomes.","year":2015,"lang":"en","type":"review","venue":"PubMed","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Critically ill; Meta-analysis; Medicine; Deep vein; Intensive care medicine; Thrombosis; Surgery; Internal medicine","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":[0.01349496,0.00247734,0.01515662,0.004761918,0.0005909458,0.002659616,0.001875669,0.002333507,0.00273424],"category_scores_gemma":[0.02703347,0.001302542,0.0447906,0.005724585,0.0005591447,0.001372275,0.001389566,0.002296655,0.0002808652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268482,"about_ca_system_score_gemma":0.00138217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003983452,"about_ca_topic_score_gemma":0.006333779,"domain_scores_codex":[0.9896885,0.005617159,0.002273051,0.001269164,0.0008368107,0.000315335],"domain_scores_gemma":[0.9778693,0.01613357,0.003573063,0.0008285407,0.001132836,0.0004627392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004593568,0.00002830518,0.01272698,0.05619431,0.9215719,0.0001166519,0.0000437538,0.0004331391,0.000155402,0.00005450247,0.0002832364,0.003798198],"study_design_scores_gemma":[0.000738744,0.0002766089,0.007245701,0.002749986,0.9880061,0.00008077199,0.00002587053,0.0002271359,0.00006670553,0.0001160888,0.0004515012,0.00001486576],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03148901,0.965342,0.0009233648,0.0003664166,0.0003534918,0.0001998441,0.0009373897,0.00003645444,0.0003519085],"genre_scores_gemma":[0.6945694,0.2987501,0.002626962,0.0009010228,0.0005593215,0.0006962548,0.001405444,0.00005166072,0.0004398085],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01515662,"threshold_uncertainty_score":0.07136905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2056856939601311,"score_gpt":0.4417748039887898,"score_spread":0.2360891100286588,"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."}}