{"id":"W3154816708","doi":"10.3389/fgene.2021.659027","title":"Coming Out to Play: Privacy, Data Protection, Children’s Health, and COVID-19 Research","year":2021,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Ethics and Legal Issues in Pediatric Healthcare","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Chan Zuckerberg Initiative; Leona M. and Harry B. Helmsley Charitable Trust; Klarman Family Foundation","keywords":"Data Protection Act 1998; Child protection; Coronavirus disease 2019 (COVID-19); General Data Protection Regulation; Internet privacy; Right to privacy; Key (lock); Pandemic; Public relations; Political science; Psychology; Medicine; Law; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002265595,0.0001262154,0.0003388417,0.0002814877,0.0002743722,0.0000516707,0.0002855187,0.0002145936,0.00001397167],"category_scores_gemma":[0.003820016,0.0001333523,0.00001839862,0.0005495076,0.0001265809,0.00003730583,0.0006436103,0.001162292,0.000006683728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003925699,"about_ca_system_score_gemma":0.003139962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009127173,"about_ca_topic_score_gemma":0.0005822604,"domain_scores_codex":[0.9974605,0.0004155761,0.0004071134,0.0006461308,0.0005618175,0.000508901],"domain_scores_gemma":[0.9975516,0.0001052775,0.00005249498,0.001089137,0.0002330511,0.000968494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001690879,0.0001725276,0.5911887,0.001292461,0.00006075692,0.0001774673,0.02789064,0.00006560012,0.00003469154,0.0001666948,0.3192286,0.05955271],"study_design_scores_gemma":[0.001635139,0.0006130955,0.02368524,0.0002180363,0.00002068273,0.0001265575,0.004616832,0.002173728,0.0001404135,0.001629709,0.9648759,0.0002646004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2755267,0.1416002,0.113414,0.4579541,0.003624566,0.006266594,0.0004326184,0.0001625564,0.001018664],"genre_scores_gemma":[0.6031734,0.03181528,0.3250882,0.03304221,0.002570863,0.0001566415,0.0008240257,0.0001378998,0.00319152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6456473,"threshold_uncertainty_score":0.5570158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2603657555047992,"score_gpt":0.4830437953831349,"score_spread":0.2226780398783357,"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."}}