{"id":"W4365134817","doi":"10.1111/all.15740","title":"Patient‐centered digital biomarkers for allergic respiratory diseases and asthma: The <scp>ARIA‐EAACI</scp> approach – ARIA‐EAACI Task Force Report","year":2023,"lang":"en","type":"review","venue":"Allergy","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McMaster University; McMaster University Medical Centre; Impact","funders":"EIT Health; Horizon 2020 Framework Programme; Mylan; American Heart Association","keywords":"Medicine; Asthma; Allergen immunotherapy; Quality of life (healthcare); Allergy; Randomized controlled trial; Clinical trial; Physical therapy; Internal medicine; Immunology; Allergen","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":[0.0003714259,0.0009153726,0.002096497,0.0003320211,0.0003880626,0.0002814303,0.000298989,0.0005617669,0.0000110915],"category_scores_gemma":[0.001444564,0.0006307121,0.001000437,0.0005502554,0.0002906345,0.0002348662,0.0003197409,0.0003996528,0.00003158944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562199,"about_ca_system_score_gemma":0.0005575311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842301,"about_ca_topic_score_gemma":0.00001230278,"domain_scores_codex":[0.9952958,0.0002175526,0.001633255,0.001338435,0.0007380881,0.0007768263],"domain_scores_gemma":[0.9960457,0.0009584708,0.001085268,0.001164509,0.0002935836,0.0004524474],"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":[0.0001995285,0.0008767465,0.00008371833,0.01712724,0.01232781,0.003076236,0.001259225,0.0000230712,0.000004927,0.001657546,0.2247843,0.7385797],"study_design_scores_gemma":[0.001183582,0.0003206081,0.0001450406,0.002758027,0.0006669293,0.0009417739,0.0005608773,0.0002308212,4.248817e-7,0.0001536627,0.992756,0.0002822159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003848698,0.986027,0.0007479014,0.0001331286,0.001013677,0.004117171,0.0007681276,0.0003265658,0.006481546],"genre_scores_gemma":[0.0004316631,0.9806852,0.000210272,0.0004670561,0.0009895489,0.0008564053,0.01008777,0.0003695559,0.005902558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7679718,"threshold_uncertainty_score":0.9996144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605519861872857,"score_gpt":0.29072227623923,"score_spread":0.2446670776205014,"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."}}