{"id":"W3025900693","doi":"10.1136/tsaco-2020-000469","title":"Maximizing the potential of trauma registries in low-income and middle-income countries","year":2020,"lang":"en","type":"review","venue":"Trauma Surgery & Acute Care Open","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver General Hospital; Simon Fraser University","funders":"","keywords":"Low and middle income countries; Medicine; Medical emergency; Injury prevention; Occupational safety and health; Global health; Pandemic; Health care; Environmental health; Poison control; Developing country; Business; Coronavirus disease 2019 (COVID-19); Public health; Nursing; Economic growth; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006364838,0.0009549263,0.005637419,0.0003964529,0.0002788534,0.0001699566,0.0008603405,0.0004320836,0.0001314749],"category_scores_gemma":[0.0001879734,0.0006520684,0.001198865,0.000981611,0.0006139329,0.0002770165,0.0006812118,0.0008484705,0.00002414698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405046,"about_ca_system_score_gemma":0.000739468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007119468,"about_ca_topic_score_gemma":0.0002741024,"domain_scores_codex":[0.9954653,0.0003265142,0.001983088,0.0008522315,0.0006633773,0.0007095051],"domain_scores_gemma":[0.9970863,0.0006617521,0.0007568775,0.0009411487,0.0003156893,0.0002381737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004711568,0.00005842492,0.001551432,0.06870737,0.002257483,0.001748414,0.004001271,5.276258e-7,4.500742e-7,0.00009075688,0.001488274,0.9196244],"study_design_scores_gemma":[0.001010977,0.0001954521,0.007747417,0.074082,0.004693022,0.0007740625,0.005992734,0.000001037799,0.00001908228,0.00002170724,0.9045405,0.0009220275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007257103,0.9847186,0.000002489367,0.0006163684,0.00113058,0.002482387,0.0007222595,0.00006879841,0.003001437],"genre_scores_gemma":[0.02217154,0.9762941,0.00007999456,0.00009755626,0.0003035859,0.0002750923,0.0003259271,0.0001408983,0.0003113215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9187024,"threshold_uncertainty_score":0.9995931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05913508987284923,"score_gpt":0.3302435554281633,"score_spread":0.2711084655553141,"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."}}