{"id":"W2017332844","doi":"10.1007/s00134-013-3174-7","title":"Access to urban acute care services in high- vs. middle-income countries: an analysis of seven cities","year":2013,"lang":"en","type":"article","venue":"Intensive Care Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; BC Children's Hospital; Health Sciences Centre; University of British Columbia","funders":"","keywords":"Medicine; Pain medicine; Anesthesiology; Middle income; Middle income country; Low and middle income countries; Medical emergency; High income countries; Emergency medicine; Environmental health; Socioeconomics; Economic growth; Developing country; Demographic economics; Anesthesia; Economics","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":[0.00008467131,0.0003724596,0.001599846,0.001226908,0.00007243877,0.00001868589,0.0003800843,0.0001353085,0.0007092473],"category_scores_gemma":[0.0002661415,0.0002739086,0.000180726,0.001525397,0.0002754932,0.0002595068,0.0001736028,0.0002200061,0.00002590173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002488961,"about_ca_system_score_gemma":0.00008026951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03161072,"about_ca_topic_score_gemma":0.01237194,"domain_scores_codex":[0.9975908,0.00005460313,0.0007488522,0.0005251549,0.0006306799,0.0004499014],"domain_scores_gemma":[0.9887998,0.0001074677,0.0001701657,0.0006318006,0.009996063,0.0002946658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003693248,0.00001722769,0.7575272,0.001466758,0.002245103,0.0001566831,0.2325203,0.00004901811,0.0003110995,0.00004192321,0.004363128,0.0009322921],"study_design_scores_gemma":[0.00111349,0.0009786813,0.6483321,0.001472371,0.002484371,0.000006118341,0.3435525,0.00003163121,0.0004349004,0.00001335495,0.00137989,0.000200645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851259,0.005025276,0.00001170714,0.006822932,0.0007676166,0.0007618208,0.0001807092,0.00007342815,0.001230603],"genre_scores_gemma":[0.9889938,0.0003933431,0.00005770416,0.009415927,0.0003260313,0.0001193568,0.0004412268,0.00003602559,0.0002165671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110322,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021844110206213,"score_gpt":0.3111732845883997,"score_spread":0.2909548434863375,"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."}}