{"id":"W2282071916","doi":"10.1155/2008/412809","title":"Childhood Asthma Surveillance using Administrative Data: Consistency between Medical Billing and Hospital Discharge Diagnoses","year":2008,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Quebec Population Health Research Network","funders":"","keywords":"Medicine; Asthma; Medical diagnosis; Medical record; Hospital discharge; Emergency medicine; Hospital admission; Family medicine; Pediatrics; Medical emergency; Intensive care medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01223569,0.0003717877,0.0005381213,0.003985871,0.0004573453,0.002432492,0.002069029,0.0005135192,0.000578033],"category_scores_gemma":[0.06559414,0.0004591842,0.0005454572,0.008908474,0.0006994405,0.0007875193,0.001089946,0.0005505324,0.0001323437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006564118,"about_ca_system_score_gemma":0.003236989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5841055,"about_ca_topic_score_gemma":0.4782998,"domain_scores_codex":[0.9857441,0.005838808,0.001403439,0.001537656,0.004695763,0.0007802831],"domain_scores_gemma":[0.9413798,0.01844199,0.02757869,0.003723152,0.007848242,0.001028189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002927028,0.000005223845,0.9972681,0.00001898638,0.0001080368,0.00001286548,0.0001060496,0.0002436622,0.00004053902,0.0000412824,0.0001743473,0.001951636],"study_design_scores_gemma":[0.00000310888,0.00001156374,0.998319,0.00001861593,0.00002394489,0.00002485858,0.00007298968,0.001221977,0.00006826901,0.00001741372,0.0002137505,0.000004608205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811167,0.001485107,0.003241593,0.00059522,0.00002349511,0.0001287569,0.01145753,0.00007609346,0.001875704],"genre_scores_gemma":[0.9938176,0.0002158466,0.001295265,0.00005868407,0.00001621057,0.00003596486,0.004475957,0.000006730809,0.0000775459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5841055,"threshold_uncertainty_score":0.8366876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06874548294144503,"score_gpt":0.3165993146839988,"score_spread":0.2478538317425538,"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."}}