{"id":"W4406526436","doi":"10.2196/56803","title":"Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of “All of Us” Research Program Data","year":2025,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Preprint; Diversity (politics); Term (time); Psychology; Sociology; Computer science; World Wide Web; Anthropology; Physics","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":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2617533,0.0002479516,0.002286961,0.01080729,0.0001656082,0.00007615839,0.0048974,0.0006300376,0.002117295],"category_scores_gemma":[0.3341362,0.000189357,0.0004851745,0.01141827,0.00490229,0.0003605628,0.006748129,0.02068302,0.000008104227],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094018,"about_ca_system_score_gemma":0.008183375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00346347,"about_ca_topic_score_gemma":0.006174694,"domain_scores_codex":[0.9349535,0.01923139,0.00484672,0.001223975,0.0378112,0.001933181],"domain_scores_gemma":[0.8085881,0.1522056,0.001081687,0.003561776,0.0329214,0.001641444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01476849,0.0234494,0.8954645,0.001343007,0.008699986,0.003381994,0.002537873,0.00001775126,0.001250062,0.0006173435,0.002145418,0.04632412],"study_design_scores_gemma":[0.007047871,0.008424101,0.9591134,0.00761739,0.0007818438,0.00001865439,0.01091574,0.001304679,0.002810218,0.001175618,0.0006721127,0.0001184384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888279,0.0009267146,0.0001206931,0.005528624,0.0002012616,0.002964487,0.00004708381,0.00000575301,0.001377513],"genre_scores_gemma":[0.9920998,0.006826373,0.0004113763,0.00002351138,0.0001077669,0.00007274426,0.00003095068,0.00002665279,0.0004008203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329742,"threshold_uncertainty_score":0.9987949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8508152761674443,"score_gpt":0.7611154181758542,"score_spread":0.08969985799159019,"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."}}