{"id":"W4318668465","doi":"10.2196/39631","title":"Policy Preferences Regarding Health Data Sharing Among Patients With Cancer: Public Deliberations","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Deliberation; Health information exchange; Status quo; Health care; Data sharing; Public relations; Health policy; Public health; Business; Political science; Medicine; Psychology; Nursing; Health information; Alternative medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1149113,0.0005474352,0.0007971628,0.001337211,0.01306849,0.01026431,0.001609571,0.004826885,0.003715566],"category_scores_gemma":[0.1657427,0.0008280977,0.001211424,0.00118255,0.01287831,0.007696339,0.01823315,0.009788155,0.0004093267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00853306,"about_ca_system_score_gemma":0.0157119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003650622,"about_ca_topic_score_gemma":0.00310482,"domain_scores_codex":[0.8376783,0.1403977,0.004842948,0.003006794,0.004886809,0.009187355],"domain_scores_gemma":[0.7834721,0.1765295,0.01651726,0.005517005,0.006666237,0.0112978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008633424,0.0007912173,0.1041902,0.0006255869,0.0001950021,0.0013212,0.8132372,0.0009940105,0.001486944,0.01143329,0.00688115,0.05798086],"study_design_scores_gemma":[0.0001683103,0.0006728219,0.01269594,0.0006845987,0.00009879647,0.0007716726,0.9370917,0.001550281,0.001181133,0.01487105,0.03004199,0.0001717691],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329817,0.000602741,0.004172609,0.05420062,0.0001942313,0.000465967,0.00009881502,0.00003347289,0.007249922],"genre_scores_gemma":[0.9917272,0.0002820828,0.001762506,0.005506751,0.00005910622,0.000314167,0.00003305103,0.0000104776,0.0003046652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1149113,"threshold_uncertainty_score":0.6077161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4591550763148693,"score_gpt":0.5143252503035907,"score_spread":0.05517017398872132,"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."}}