{"id":"W2042319564","doi":"10.1080/17441692.2010.516268","title":"Collecting injury surveillance data in low- and middle-income countries: The Cape Town Trauma Registry pilot","year":2010,"lang":"en","type":"article","venue":"Global Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medicine; Injury surveillance; Public health; Abbreviated Injury Scale; Medical emergency; Data collection; Injury Severity Score; Injury prevention; Environmental health; Developing country; Occupational safety and health; Poison control; Emergency medicine; Economic growth; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.007582961,0.0001465486,0.0003850927,0.00005299311,0.0003002695,0.00003665111,0.0003245781,0.0001625011,0.00009988768],"category_scores_gemma":[0.001722591,0.0001089317,0.00002411726,0.0004672608,0.0002240706,0.0001732079,0.0001436411,0.0006575384,0.00001191766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553753,"about_ca_system_score_gemma":0.0007984529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126882,"about_ca_topic_score_gemma":0.005697109,"domain_scores_codex":[0.9977981,0.0004551235,0.0005495408,0.0004257689,0.0001874666,0.0005840242],"domain_scores_gemma":[0.9982294,0.0003197693,0.0002195847,0.0009033362,0.00007062104,0.0002573251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004359577,0.000141457,0.9687076,0.0007995262,0.00004714096,0.0000178035,0.0002130214,2.222993e-7,0.0000037356,0.006120132,0.01211227,0.01140109],"study_design_scores_gemma":[0.001066579,0.0003578917,0.943103,0.0002857238,0.000006516271,0.0002766393,0.0002084007,0.0002332078,0.000001208984,0.0008065185,0.05352638,0.0001280003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321049,0.0005892896,0.00005650506,0.06110207,0.0006845996,0.0005605934,0.0003070854,0.00006023659,0.004534735],"genre_scores_gemma":[0.9929634,0.0003054715,0.0005075456,0.005534212,0.0002486104,0.00001428855,0.0001593708,0.000008005783,0.0002591025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06085851,"threshold_uncertainty_score":0.4442107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07425760381544425,"score_gpt":0.3758232628245195,"score_spread":0.3015656590090753,"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."}}