{"id":"W2149382460","doi":"10.1016/j.puhe.2004.10.009","title":"Measuring socio-economic inequalities in the presentation of injuries to a paediatric A&amp;E department: the importance of an epidemiological approach","year":2005,"lang":"en","type":"article","venue":"Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Epidemiology; Emergency department; Medicine; Population; Injury prevention; Demography; Inequality; Poison control; Environmental health; Mathematics; Psychiatry; Sociology; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01786732,0.0004286183,0.0004504798,0.004121811,0.001524728,0.002390683,0.001263748,0.001035767,0.00100964],"category_scores_gemma":[0.07717833,0.0004553949,0.000623459,0.003874068,0.001318372,0.003538646,0.003736226,0.001592328,0.0001466444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414978,"about_ca_system_score_gemma":0.002008009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249175,"about_ca_topic_score_gemma":0.03081556,"domain_scores_codex":[0.9843448,0.009977336,0.001800885,0.000687398,0.002221772,0.0009677839],"domain_scores_gemma":[0.9674928,0.01816557,0.008715385,0.001731297,0.002424574,0.001470475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002505238,0.00004697343,0.9968851,0.00001649789,0.00007997989,0.00001014963,0.0002332564,0.0001184603,0.00002826011,0.0002409005,0.00007829058,0.002236919],"study_design_scores_gemma":[0.000003106394,0.00009977593,0.9969368,0.0000309662,0.00003254314,0.00004581513,0.001268221,0.0008149158,0.00006326377,0.0004525063,0.0002414765,0.00001072468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989466,0.0007996285,0.00325281,0.001967932,0.0000475885,0.0001002395,0.0007073434,0.000006347826,0.003652138],"genre_scores_gemma":[0.9974493,0.0002082432,0.001801941,0.0001373651,0.00004339046,0.00005903838,0.0002106017,0.000002898061,0.00008715883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02249175,"threshold_uncertainty_score":0.09449261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2085434371832058,"score_gpt":0.4076361746772007,"score_spread":0.1990927374939949,"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."}}