{"id":"W4309492131","doi":"10.1002/clt2.12208","title":"Real‐world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities","year":2022,"lang":"en","type":"article","venue":"Clinical and Translational Allergy","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre; Impact","funders":"","keywords":"Medicine; mHealth; Chronic rhinosinusitis; World Wide Web; Data science; Immunology; Computer science; Nursing; Psychological intervention","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006774893,0.0004163081,0.0006983884,0.004546915,0.0004983323,0.00214422,0.0004017241,0.00135134,0.004952662],"category_scores_gemma":[0.0407236,0.0002339885,0.00111684,0.004383953,0.0005156978,0.00215993,0.00142891,0.0008760214,0.001274151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004150759,"about_ca_system_score_gemma":0.0007994572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414479,"about_ca_topic_score_gemma":0.004085768,"domain_scores_codex":[0.9945948,0.002034521,0.001440036,0.0006092078,0.001129353,0.0001920844],"domain_scores_gemma":[0.9487851,0.04138765,0.005641849,0.0009812191,0.002749952,0.0004542924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002175233,0.0004608577,0.405562,0.02640809,0.0009834819,0.002158754,0.00763981,0.0006236724,0.00253317,0.001547349,0.02214623,0.5277614],"study_design_scores_gemma":[0.0002576565,0.001215841,0.817175,0.02184306,0.002135069,0.007913999,0.009244841,0.002123122,0.00424112,0.004187591,0.1293246,0.000338043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6731078,0.2119562,0.01129436,0.00995209,0.001007221,0.002270769,0.0584823,0.0004871774,0.0314422],"genre_scores_gemma":[0.8796334,0.06898696,0.02362815,0.003945998,0.0007959361,0.002159403,0.01746741,0.0001105633,0.003272268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006774893,"threshold_uncertainty_score":0.03582948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759577646142044,"score_gpt":0.3837766359502016,"score_spread":0.2078188713359971,"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."}}