{"id":"W7116866818","doi":"10.64898/2025.12.19.25341381","title":"A double-blind, crossover, non-inferiority randomized controlled trial where primary care providers and patients compare human- and AI-generated digital health messages: the AI-CARE study protocol","year":2025,"lang":"","type":"article","venue":"medRxiv","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Eastern Ontario Training Board; Agricultural Research Institute of Ontario; Institut du Savoir Montfort","funders":"Canadian Institutes of Health Research; CHEO Research Institute","keywords":"Protocol (science); Randomized controlled trial; Relevance (law); Primary care; CLARITY; Digital health; Health care; Quality (philosophy); mHealth; Public health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02234546,0.005958843,0.009282469,0.001672854,0.00245326,0.003268243,0.002827813,0.008447196,0.03878142],"category_scores_gemma":[0.02534666,0.002166321,0.003419594,0.001758259,0.003726254,0.003480838,0.001197719,0.005587498,0.006935508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587902,"about_ca_system_score_gemma":0.008107891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009928482,"about_ca_topic_score_gemma":0.001714433,"domain_scores_codex":[0.9831454,0.01038877,0.001457657,0.001927014,0.001502175,0.001579079],"domain_scores_gemma":[0.9856478,0.005477089,0.003324067,0.001648633,0.002161104,0.001741326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9627662,0.01491784,0.0003567329,0.00480813,0.001389046,0.0000676761,0.0001899066,0.0003489313,0.000956223,0.001262335,0.00399828,0.008938592],"study_design_scores_gemma":[0.977815,0.01834015,0.0003814069,0.0002114746,0.0003119601,0.000008916135,0.00002490095,0.0003571071,0.000225297,0.0005966057,0.00170596,0.00002132478],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0394222,0.001400756,0.003483339,0.0007430581,0.002020666,0.9480852,0.001999072,0.0003318924,0.002513715],"genre_scores_gemma":[0.02550639,0.0002839381,0.003505299,0.0004884718,0.0002005091,0.9688097,0.0001758119,0.00001068136,0.001019191],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03878142,"threshold_uncertainty_score":0.1297367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06716918887167073,"score_gpt":0.4353680258797168,"score_spread":0.3681988370080461,"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."}}