{"id":"W2332569723","doi":"10.1155/2002/921497","title":"Diagnosing Asthma: The Fit between Survey and Administrative Database","year":2002,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Manitoba","funders":"Health Sciences Centre Research Foundation","keywords":"Medicine; Asthma; Database; Family medicine; Internal medicine","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":[0.1090793,0.0004879634,0.001282405,0.004948857,0.0006938457,0.004489409,0.001408764,0.00176194,0.00143036],"category_scores_gemma":[0.3433029,0.0006846253,0.001171048,0.005064937,0.001596718,0.004000474,0.002830467,0.001232363,0.0008871137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467156,"about_ca_system_score_gemma":0.001262426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004138655,"about_ca_topic_score_gemma":0.003670759,"domain_scores_codex":[0.8238801,0.1352201,0.01358689,0.009755083,0.01578574,0.001772152],"domain_scores_gemma":[0.6496599,0.2876586,0.02255177,0.0175499,0.02073969,0.001840146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003849306,0.00004817057,0.9609491,0.0002062018,0.0006211158,0.00009027297,0.0005943924,0.001223625,0.0002111455,0.00114795,0.001526596,0.03299657],"study_design_scores_gemma":[0.00007915458,0.0005450476,0.9497301,0.0004689228,0.0004521925,0.00148231,0.00150547,0.0320298,0.0005953656,0.008039766,0.004965224,0.000106619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722437,0.006952943,0.1828377,0.009334418,0.000889692,0.001333286,0.004505484,0.0008681164,0.02103478],"genre_scores_gemma":[0.9801322,0.0003041058,0.0174183,0.0005730583,0.00009767467,0.0001832747,0.000992334,0.00005719006,0.0002419316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090793,"threshold_uncertainty_score":0.5768734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142562786688011,"score_gpt":0.323413358203413,"score_spread":0.2091570795346119,"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."}}