{"id":"W2898410112","doi":"10.1186/s13601-018-0227-6","title":"MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence","year":2018,"lang":"en","type":"review","venue":"Clinical and Translational Allergy","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Sorbonne Université; Medizinische Universität Graz; Assistance publique-Hôpitaux de Paris; Karl-Franzens-Universität Graz; Universidade do Porto; KU Leuven; Centro de Investigação em Tecnologias e Serviços de Saúde; Universität Zürich; Institut National de la Santé et de la Recherche Médicale; Universitat Pompeu Fabra","keywords":"Medicine; Asthma; Telemedicine; Pharmacy; Guideline; Health care; mHealth; Allergy; Psychological intervention; Family medicine; Nursing; Immunology","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":[0.0002522732,0.0005099087,0.001826023,0.0001585299,0.0002827228,0.0001123939,0.0001071721,0.0005319439,0.0001441554],"category_scores_gemma":[0.0003500914,0.0003973536,0.0005946177,0.0001932788,0.0004593252,0.0002283977,0.00003495176,0.0004392479,0.00001242006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000408415,"about_ca_system_score_gemma":0.0006627812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002010621,"about_ca_topic_score_gemma":0.0004818661,"domain_scores_codex":[0.9970371,0.0001974028,0.00119582,0.0009079929,0.000323721,0.0003380293],"domain_scores_gemma":[0.997146,0.001365639,0.0003809727,0.0002520599,0.0004989349,0.0003564026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008398321,0.0002794272,0.0005164472,0.01431711,0.001542635,0.0001821768,0.0009776554,0.000008435278,4.03011e-7,0.001892362,0.001751249,0.9776922],"study_design_scores_gemma":[0.002059824,0.0003182215,0.001374035,0.0143285,0.0007268578,0.0002334764,0.0001996507,0.003138743,1.282055e-7,0.0002422632,0.9768692,0.0005090949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002959893,0.9937758,0.001623173,0.0002944087,0.0005372849,0.00135651,0.0004815348,0.00005869893,0.001576643],"genre_scores_gemma":[0.002038024,0.9873175,0.005997519,0.0001225431,0.001205079,0.00003367605,0.002443921,0.00006873241,0.0007730208],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9771832,"threshold_uncertainty_score":0.9998478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2463150068547904,"score_gpt":0.4077312858581438,"score_spread":0.1614162790033534,"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."}}