{"id":"W2556479049","doi":"10.1038/npjpcrm.2016.85","title":"Development of a validated algorithm for the diagnosis of paediatric asthma in electronic medical records","year":2016,"lang":"en","type":"article","venue":"npj Primary Care Respiratory Medicine","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Asthma; Medical record; Primary care; Algorithm; Medical diagnosis; MEDLINE; Electronic medical record; Disease; Pediatrics; Family medicine; Internal medicine; Pathology","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":[0.01344009,0.000696017,0.0009515411,0.005756008,0.0008540575,0.003048218,0.002439919,0.0009563353,0.001882488],"category_scores_gemma":[0.04123193,0.0005338762,0.0008851502,0.004022059,0.0005357379,0.001264687,0.001393655,0.001167749,0.001092666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004343159,"about_ca_system_score_gemma":0.01003497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09229895,"about_ca_topic_score_gemma":0.1115265,"domain_scores_codex":[0.9879781,0.003326837,0.00259359,0.001653762,0.003982795,0.000464888],"domain_scores_gemma":[0.9815003,0.00514849,0.00225676,0.0008852569,0.009930242,0.0002789966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004294566,0.0004218353,0.5122568,0.0007387761,0.0003212182,0.0005110366,0.0006156095,0.02253654,0.004668289,0.004129014,0.01936742,0.4340039],"study_design_scores_gemma":[0.0006247692,0.0006633449,0.4547409,0.001255921,0.0005393105,0.002536175,0.001116342,0.4636924,0.01626761,0.005587248,0.05274875,0.0002272463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2445533,0.002327442,0.6987699,0.003045594,0.0004671306,0.01293183,0.01585586,0.006510195,0.01553878],"genre_scores_gemma":[0.2407617,0.0005744917,0.7430369,0.0003286922,0.00006779979,0.002554291,0.01075329,0.00009321368,0.001829642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09229895,"threshold_uncertainty_score":0.1835234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866410321644381,"score_gpt":0.2892697488836011,"score_spread":0.2706056456671573,"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."}}