{"id":"W3190587088","doi":"10.3390/ijerph18168347","title":"Geography as a Determinant of Health: Health Services Utilization of Pediatric Respiratory Illness in a Canadian Province","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"Alberta Health Services","keywords":"Bronchiolitis; Bronchitis; Asthma; Croup; Health care; Pneumonia; Medicine; Location; Respiratory tract infections; Geography; Environmental health; Rural area; Demography; Pediatrics; Respiratory system; Economic growth; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140875,0.0003774106,0.0004958201,0.002601889,0.003181712,0.001787776,0.001594536,0.0003451422,0.001558992],"category_scores_gemma":[0.004290252,0.0003180408,0.0008473114,0.00829397,0.001082442,0.0004417948,0.001677013,0.0006998169,0.0001096022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04220562,"about_ca_system_score_gemma":0.0602285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979607,"about_ca_topic_score_gemma":0.99874,"domain_scores_codex":[0.998385,0.0001739407,0.0001161215,0.0002074209,0.0005600938,0.0005574685],"domain_scores_gemma":[0.9974347,0.0002287596,0.0005028661,0.00009824044,0.001103711,0.0006318516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005113848,0.00002289889,0.9917341,0.00006012922,0.00009092819,0.00009872817,0.001198833,0.000421042,0.0001224995,0.0003080982,0.00106592,0.00482574],"study_design_scores_gemma":[0.000004091884,0.000009988199,0.9960278,0.00005593436,0.00003559319,0.00004565956,0.002518822,0.0003974793,0.0000453258,0.00004548541,0.0008001284,0.00001359607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890597,0.001471414,0.0001970867,0.0009567698,0.00001733299,0.00004529268,0.004627184,0.00001556676,0.003609515],"genre_scores_gemma":[0.9979299,0.0005853599,0.0002110076,0.00005600842,0.000004576043,0.000009955594,0.0009446335,0.000004199145,0.000254497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04220562,"threshold_uncertainty_score":0.3062246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.081564705031363,"score_gpt":0.4272820957058183,"score_spread":0.3457173906744553,"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."}}