{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005344254,0.0001313658,0.0003640711,0.0001144037,0.0002354944,0.00001875069,0.00007646276,0.0000444915,0.0001958399],"category_scores_gemma":[0.00003319671,0.0001179777,0.00004263867,0.0001738235,0.000233798,0.0001230387,0.0001018695,0.0003211817,9.445843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001245916,"about_ca_system_score_gemma":0.0001429962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008856208,"about_ca_topic_score_gemma":0.001873524,"domain_scores_codex":[0.998444,0.0001905635,0.0005697786,0.0004184072,0.0002053064,0.0001720087],"domain_scores_gemma":[0.9990956,0.0004430488,0.00009194353,0.0001992335,0.00003759253,0.000132608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002585716,0.001792143,0.6391519,0.0002003988,0.0006122295,0.000662077,0.004544686,0.001725138,0.000149898,0.04552223,0.002464185,0.3005894],"study_design_scores_gemma":[0.002842469,0.0001778055,0.8488908,0.00006087409,0.00002204338,0.000180761,0.0004363865,0.1247283,0.000001885473,0.002124941,0.02035174,0.0001819159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917036,0.001073764,0.000412076,0.004456586,0.0001852943,0.0002299191,0.0003124213,0.00003222998,0.001594152],"genre_scores_gemma":[0.9925712,0.003115253,0.001946067,0.0008790826,0.0002300876,0.000005734019,0.001085059,0.00001793169,0.0001496319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3004074,"threshold_uncertainty_score":0.4810992,"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."}}