{"id":"W4400315697","doi":"10.1016/j.jaip.2024.06.040","title":"Concepts for the Development of Person-Centered, Digitally Enabled, Artificial Intelligence–Assisted ARIA Care Pathways (ARIA 2024)","year":2024,"lang":"en","type":"review","venue":"The Journal of Allergy and Clinical Immunology In Practice","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"National Institute of Allergy and Infectious Diseases; Directorate-General for Communications Networks, Content and Technology; HORIZON EUROPE Framework Programme; National Institutes of Health; Filha; Universidade do Porto; Universidad de Especialidades Espíritu Santo; Mylan; Astellas Pharma; F. Hoffmann-La Roche; Université de Liège; European Commission; Sanofi; GlaxoSmithKline; Regeneron Pharmaceuticals; Tampereen Tuberkuloosisäätiö; Teva Pharmaceutical Industries; AstraZeneca; Sanofi-Aventis Deutschland; Pfizer","keywords":"Medicine; Artificial intelligence; Computer science","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008340445,0.0003804102,0.001856253,0.0001722933,0.0001627059,0.00006344736,0.0005592398,0.0005903689,0.0000945235],"category_scores_gemma":[0.02403163,0.0001979723,0.0007066651,0.0003176868,0.0005631123,0.0003046663,0.0002481258,0.002894646,0.00002467086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766985,"about_ca_system_score_gemma":0.002647368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003455715,"about_ca_topic_score_gemma":0.0002740027,"domain_scores_codex":[0.9916283,0.001499084,0.005852039,0.0003266312,0.000376527,0.0003173541],"domain_scores_gemma":[0.9585222,0.03574276,0.004210916,0.0004538886,0.0009753169,0.00009494059],"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":[0.004500952,0.000545599,0.000003773055,0.0007902887,0.01458806,0.00006639693,0.001786562,0.000002482205,0.000003463134,0.0006035808,0.0006203625,0.9764885],"study_design_scores_gemma":[0.001243556,0.002170298,0.0001066381,0.006248068,0.02246909,0.001429606,0.04199186,0.00003993617,0.000003773525,0.0003458845,0.9237071,0.0002441586],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002687512,0.9885182,0.001895491,0.004472673,0.00333327,0.001147226,0.00002677122,0.000008901582,0.0003286668],"genre_scores_gemma":[0.001369997,0.9941972,0.003245721,0.0003891501,0.0005630523,0.00002982892,0.00004377504,0.00004489672,0.0001163769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9762443,"threshold_uncertainty_score":0.9994057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.438604086916579,"score_gpt":0.5346022145605426,"score_spread":0.09599812764396354,"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."}}