{"id":"W2944010493","doi":"10.1038/s41533-019-0132-z","title":"Systematic review of clinical prediction models to support the diagnosis of asthma in primary care","year":2019,"lang":"en","type":"review","venue":"npj Primary Care Respiratory Medicine","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"University of Edinburgh; Asthma UK Centre for Applied Research; Chief Scientist Office; Asthma and Lung UK","keywords":"Medicine; Asthma; CINAHL; Wheeze; MEDLINE; Primary care; Receiver operating characteristic; Predictive modelling; Clinical Practice; Intensive care medicine; Pediatrics; Family medicine; Emergency medicine; Machine learning; Psychological intervention; Internal medicine","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":[0.003434564,0.001022696,0.01274406,0.0008400319,0.00006405733,0.000006993914,0.0009434346,0.0008382308,0.000147911],"category_scores_gemma":[0.001517828,0.0005781854,0.002044302,0.001390188,0.0005273769,0.0001538388,0.0003669452,0.00126529,0.00005048484],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109175,"about_ca_system_score_gemma":0.006313473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002011447,"about_ca_topic_score_gemma":0.000007431209,"domain_scores_codex":[0.9863902,0.002176521,0.007484762,0.001153551,0.002232937,0.0005620323],"domain_scores_gemma":[0.9907963,0.001564728,0.002933381,0.002832003,0.001296601,0.000576934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007924499,0.000143968,0.0005533581,0.7352342,0.0002789832,0.00009093328,0.0003005341,0.000002517893,5.733801e-7,0.000007199186,0.004008981,0.2592995],"study_design_scores_gemma":[0.001093335,0.002519429,0.0004616879,0.6555282,0.00657046,0.00003264768,0.000418229,5.052967e-7,0.000001083676,6.709705e-7,0.3330918,0.0002818616],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001225292,0.9783669,0.00001436943,0.00006543121,0.000864954,0.01255062,0.0006317588,0.00006173941,0.007321695],"genre_scores_gemma":[0.0001287062,0.9896398,0.00003740378,0.00630562,0.0008375741,0.001532543,0.001246323,0.000171291,0.0001007318],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3290828,"threshold_uncertainty_score":0.9996669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038395323749171,"score_gpt":0.3936430788455101,"score_spread":0.2898035464705931,"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."}}