{"id":"W4294920919","doi":"10.2196/36797","title":"Patients’ and Publics’ Preferences for Data-Intensive Health Research Governance: Survey Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovative Medicines Initiative; European Federation of Pharmaceutical Industries and Associations","keywords":"Data governance; Operationalization; Publics; Public relations; Corporate governance; Business; Harm; Data sharing; Confidentiality; Public health; Survey data collection; Descriptive statistics; Information governance; Psychology; Political science; Medicine; Marketing; Nursing; Social psychology; Information system; Data quality","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01840599,0.0001525212,0.0004508394,0.0001872682,0.001163485,0.000117197,0.0009027388,0.0001041369,0.0003806225],"category_scores_gemma":[0.03452483,0.0001250429,0.00004282454,0.0004826187,0.0003646785,0.000154604,0.002411764,0.002942176,0.00000542562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003613512,"about_ca_system_score_gemma":0.0009350887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820343,"about_ca_topic_score_gemma":0.008325431,"domain_scores_codex":[0.9934498,0.001350035,0.0005650566,0.0009058825,0.003071315,0.0006578749],"domain_scores_gemma":[0.9822554,0.01295747,0.0002069443,0.001266455,0.002888277,0.0004254224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002473313,0.001148982,0.9459215,0.0001421139,0.00005847426,0.000002235553,0.003111021,1.012608e-7,0.000003394836,0.000820876,0.04765447,0.000889532],"study_design_scores_gemma":[0.001819327,0.007958946,0.9733622,0.00002772435,0.000006248904,3.284119e-7,0.008442286,0.00001278231,0.000003791579,0.001902657,0.006358563,0.0001051367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927186,0.00009171953,0.00000161735,0.001544747,0.0001897191,0.003811757,0.00131575,0.00003540463,0.0002907326],"genre_scores_gemma":[0.9946529,0.00005609194,0.00002480116,0.0004630598,0.00006984323,0.0003798688,0.001589291,0.0000350574,0.002729069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04129591,"threshold_uncertainty_score":0.9993581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8973146299899257,"score_gpt":0.6747173084269861,"score_spread":0.2225973215629397,"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."}}