{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08268312,0.001944133,0.002119778,0.003843785,0.001395986,0.006062813,0.003327836,0.006984237,0.007490281],"category_scores_gemma":[0.05916556,0.000829558,0.00363438,0.002829541,0.001557481,0.00364001,0.007225769,0.008158308,0.007420495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003929835,"about_ca_system_score_gemma":0.0242708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512224,"about_ca_topic_score_gemma":0.01539162,"domain_scores_codex":[0.9600405,0.01509183,0.00501806,0.002347225,0.01559951,0.001902876],"domain_scores_gemma":[0.8993746,0.02529984,0.01271818,0.006069441,0.04819699,0.008341001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002505196,0.0004241618,0.01006696,0.00388232,0.0004538156,0.0001059067,0.0002604903,0.0006107848,0.0007413155,0.009934104,0.7018807,0.2713889],"study_design_scores_gemma":[0.000331627,0.0003457578,0.02102461,0.01124727,0.0004551425,0.0003105304,0.0002291923,0.000990011,0.0007466099,0.007622359,0.9565936,0.0001031365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004549666,0.1706002,0.03812696,0.622577,0.03418491,0.008248944,0.01927521,0.001344286,0.1010929],"genre_scores_gemma":[0.06320464,0.2579734,0.1981908,0.2612083,0.06093788,0.0241327,0.0726383,0.001191991,0.06052194],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.08268312,"threshold_uncertainty_score":0.4372754,"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."}}