{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006258443,0.0002049614,0.0002938031,0.0002845401,0.001794571,0.00004128821,0.0006331613,0.00009932705,0.000568927],"category_scores_gemma":[0.00003515472,0.0001593914,0.00002446421,0.001061382,0.00005147145,0.0006193405,0.0005883522,0.0004542384,0.0001315781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035435,"about_ca_system_score_gemma":0.002689917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02807515,"about_ca_topic_score_gemma":0.06478756,"domain_scores_codex":[0.9968047,0.0002114512,0.0006623532,0.0006618098,0.000537026,0.001122728],"domain_scores_gemma":[0.9978541,0.0001096082,0.000442512,0.0008613182,0.0002322416,0.0005002224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003698063,0.00005465957,0.9291909,0.000849204,0.00003001957,3.41958e-7,0.002430209,0.00003337408,5.709663e-7,0.000562548,0.05032029,0.01649091],"study_design_scores_gemma":[0.002359756,0.0002536585,0.8871974,0.003285364,0.00001600134,5.299323e-8,0.001753993,0.001511357,0.000003222324,0.0004142917,0.1028157,0.0003892475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793606,0.0003069897,0.00003788501,0.009872125,0.001305091,0.003549182,0.002040974,0.0003633957,0.003163749],"genre_scores_gemma":[0.9722174,0.001579232,0.000148728,0.009016095,0.0009977265,0.00569385,0.005906465,0.000066803,0.004373695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05249539,"threshold_uncertainty_score":0.999505,"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."}}