{"id":"W4307841611","doi":"10.2196/38048","title":"The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University; American Heart Association","keywords":"Psychological intervention; Digital health; Health intervention; Equity (law); Health equity; Medicine; mHealth; Health care; Medical education; Nursing; Public health; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007069969,0.0003495987,0.0005939536,0.0002364183,0.01737559,0.000114507,0.000455924,0.0001283615,0.0001293526],"category_scores_gemma":[0.0004442658,0.0002933035,0.0001169414,0.0004134046,0.00006159981,0.0001722,0.0007601167,0.0008749886,0.00003649394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251085,"about_ca_system_score_gemma":0.003635512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452367,"about_ca_topic_score_gemma":0.0001108908,"domain_scores_codex":[0.9930329,0.002256863,0.001870601,0.0007549774,0.0007847045,0.001299953],"domain_scores_gemma":[0.994277,0.002884628,0.001174225,0.0005390964,0.0001879192,0.0009371152],"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":[0.00314561,0.0008786659,0.02122677,0.0009639547,0.0002211752,0.000001651397,0.1345762,0.001316073,0.00001134934,0.02506822,0.06277428,0.749816],"study_design_scores_gemma":[0.007014793,0.02225499,0.05155947,0.0003968647,0.00002600053,0.000003357753,0.05721985,0.0002791058,0.00002043611,0.01464322,0.8456486,0.0009332739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2240091,0.000657404,0.6444187,0.01046423,0.001569657,0.1179124,0.0003949425,0.0005099102,0.00006363508],"genre_scores_gemma":[0.9633327,0.00003263333,0.007442263,0.001724491,0.0007248172,0.02574943,0.0003589113,0.00009494488,0.0005398388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7828743,"threshold_uncertainty_score":0.9999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155030939352016,"score_gpt":0.5103887199609302,"score_spread":0.3553577806089142,"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."}}