{"id":"W4282913567","doi":"10.2196/29337","title":"Understanding the Security and Privacy Concerns About the Use of Identifiable Health Data in the Context of the COVID-19 Pandemic: Survey Study of Public Attitudes Toward COVID-19 and Data-Sharing","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Public health; Pandemic; Data sharing; Health care; Survey data collection; Population; Medicine; Internet privacy; Psychology; Coronavirus disease 2019 (COVID-19); Environmental health; Nursing; Political science; Alternative medicine; Disease; Geography; Computer 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":["metaresearch","sts","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.03633188,0.0001660839,0.0003833329,0.0002462805,0.001422531,0.0008131537,0.008903288,0.00003205219,0.000007730129],"category_scores_gemma":[0.005930182,0.00008774885,0.00003299485,0.001877578,0.0008421362,0.002820235,0.02118406,0.0009685617,2.306889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007618575,"about_ca_system_score_gemma":0.001906604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03036723,"about_ca_topic_score_gemma":0.02969652,"domain_scores_codex":[0.989037,0.006718202,0.000868761,0.0007274949,0.002064401,0.0005841602],"domain_scores_gemma":[0.981151,0.01422222,0.0005592767,0.003700756,0.0001951822,0.0001715481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007643766,0.0004221377,0.6961159,0.0007104534,0.00009871702,0.000002961923,0.2881488,0.0001393915,0.00001088373,0.011655,0.002049234,0.0005700799],"study_design_scores_gemma":[0.004109395,0.001149595,0.5709827,0.0001858845,0.00001933409,0.00005717487,0.3284272,0.07899261,0.00001193862,0.006368017,0.009307961,0.0003882322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685319,0.0006321035,0.01522568,0.01035015,0.00007399862,0.003600759,0.001533022,0.00002603092,0.00002634557],"genre_scores_gemma":[0.9986359,0.0001170598,0.00001175802,0.001076249,0.000007432536,0.00008808134,0.00004817849,0.000009009659,0.000006366316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251332,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8373029321779455,"score_gpt":0.5529889671517819,"score_spread":0.2843139650261636,"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."}}