{"id":"W2053591286","doi":"10.2105/ajph.2010.300063","title":"Trauma in the Neighborhood: A Geospatial Analysis and Assessment of Social Determinants of Major Injury in North America","year":2011,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research and Materiel Command; NIH Clinical Center; National Institute of Neurological Disorders and Stroke; Heart and Stroke Foundation of Canada; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Stroke Association","keywords":"Demography; Census; Medicine; Population; Injury prevention; Poison control; Incidence (geometry); Occupational safety and health; Suicide prevention; Geography; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130846,0.0001168993,0.001040743,0.0006993443,0.00004143426,0.000003756729,0.0001503308,0.0000215189,0.00006481506],"category_scores_gemma":[0.0000862723,0.00007791729,0.0001721678,0.001947878,0.0003295637,0.00008776104,0.00002545428,0.0002917074,1.263236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008110012,"about_ca_system_score_gemma":0.000635776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007087492,"about_ca_topic_score_gemma":0.006657253,"domain_scores_codex":[0.9977331,0.000399393,0.001049189,0.0001211089,0.0003933561,0.0003038652],"domain_scores_gemma":[0.998386,0.00006424465,0.001100618,0.0001299334,0.0001830748,0.0001361749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005697157,0.0002769485,0.6288892,0.00003334343,0.0001591978,0.00001070106,0.01681494,2.021435e-7,0.000003399376,0.0000126802,0.00002884072,0.3537136],"study_design_scores_gemma":[0.0006317552,0.00279352,0.981404,0.00002188479,0.0001319335,0.00001437195,0.01469998,0.00005221543,0.000003159749,0.00000704546,0.0001839367,0.00005619054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996955,0.0001365463,0.000268704,0.001847499,0.00004419053,0.0001247074,0.00001958038,0.000001876994,0.0006019288],"genre_scores_gemma":[0.9979218,0.0003894074,0.001261137,0.0003607838,0.00005081138,0.000004424313,0.000002231363,0.000007208572,0.000002165559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3536574,"threshold_uncertainty_score":0.9995244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05622623290558965,"score_gpt":0.3744979868241859,"score_spread":0.3182717539185963,"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."}}