{"id":"W1616802967","doi":"10.1186/1471-2458-5-132","title":"Socioeconomic status and non-fatal injuries among Canadian adolescents: variations across SES and injury measures","year":2005,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Western University; Children’s Health Research Institute; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Biostatistics; Medicine; Socioeconomic status; Injury prevention; Epidemiology; Poison control; Occupational safety and health; Suicide prevention; Human factors and ergonomics; Public health; Demography; Environmental health; Population; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891362,0.0001331799,0.0003106676,0.0001508964,0.0004885029,0.00004892167,0.0000461538,0.0001661046,0.00006200343],"category_scores_gemma":[0.0003550345,0.0001290666,0.00003698023,0.00006908864,0.000209165,0.0003899394,0.00003379635,0.0002662507,0.00002840567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898543,"about_ca_system_score_gemma":0.001998619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05262874,"about_ca_topic_score_gemma":0.3019505,"domain_scores_codex":[0.9983467,0.0002415666,0.0003925145,0.0002699404,0.00007188968,0.0006774168],"domain_scores_gemma":[0.9987111,0.00007209006,0.0001368424,0.0001804409,0.00006506401,0.0008344359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003131467,0.00003210958,0.9730107,0.0001168315,0.00002569928,2.964958e-7,0.001611202,5.639723e-7,0.000003947963,0.0006114088,0.002880607,0.02167529],"study_design_scores_gemma":[0.0005351572,0.0001297386,0.9727178,0.00005151339,0.000009276842,0.000007811089,0.0003471449,0.0001525229,0.0000055066,0.0001577073,0.02578229,0.0001035015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857409,0.0005942473,0.0005999109,0.01205098,0.000155341,0.0003976937,0.0001847441,0.00004073919,0.0002354423],"genre_scores_gemma":[0.9935274,0.0003812899,0.0009221776,0.004486484,0.0002594582,0.00002277412,0.0001199987,0.00001446549,0.0002659228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2493218,"threshold_uncertainty_score":0.9536799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869547652605145,"score_gpt":0.3454472354163072,"score_spread":0.3167517588902557,"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."}}