{"id":"W2148717016","doi":"","title":"Differences in prevalence of pre-existing morbidity between injured and non-injured populations.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health","funders":"","keywords":"Medicine; Population; Comorbidity; Cohort; Injury prevention; Residence; Occupational safety and health; Demography; Poison control; Mental health; Diagnosis code; Suicide prevention; Epidemiology; Cohort study; Incidence (geometry); Emergency medicine; Gerontology; Psychiatry; Environmental health; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003946563,0.0001829296,0.0001799211,0.0008659207,0.0004327756,0.0005024303,0.0004136742,0.0003075445,0.001579964],"category_scores_gemma":[0.001559061,0.0001609477,0.00028661,0.0006473039,0.0003301537,0.0002670155,0.0004735574,0.0003000237,0.0002162785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007277105,"about_ca_system_score_gemma":0.001175187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131408,"about_ca_topic_score_gemma":0.1640732,"domain_scores_codex":[0.9996482,0.00003736352,0.00002579093,0.00006433767,0.0001030209,0.0001212813],"domain_scores_gemma":[0.9992117,0.00005955331,0.0003010738,0.00004728411,0.0001665075,0.0002137761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002611627,0.00002166751,0.9992315,0.000005390024,0.00001630842,0.00002342803,0.00008720213,0.000007050818,0.0001001168,0.000007009906,0.00002982907,0.0004444737],"study_design_scores_gemma":[9.386757e-7,0.00001836688,0.9997701,0.000001393248,0.000003185077,0.00003291444,0.0001146815,0.00001381492,0.00001434875,0.000002929715,0.0000268556,5.52376e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992473,0.00009773207,0.00003281347,0.0000223117,0.000003155564,0.00001226441,0.0003270106,0.000001922104,0.0002555695],"genre_scores_gemma":[0.9992183,0.0000591207,0.00004268566,0.00001812603,0.000002616527,0.000007784298,0.0004939241,7.152833e-7,0.0001566737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131408,"threshold_uncertainty_score":0.2249645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016379062683122,"score_gpt":0.3212471446604548,"score_spread":0.2196092383921427,"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."}}