{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1107703,0.0005315203,0.001089343,0.002117674,0.01661967,0.02082334,0.002664959,0.01616848,0.004685272],"category_scores_gemma":[0.08413511,0.0007994091,0.001029312,0.002271963,0.1200151,0.02376668,0.01947892,0.02630342,0.000469215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01578767,"about_ca_system_score_gemma":0.02792354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011285,"about_ca_topic_score_gemma":0.02121218,"domain_scores_codex":[0.8840336,0.0908819,0.003891144,0.005437972,0.009420912,0.006334481],"domain_scores_gemma":[0.8527301,0.1207081,0.008297496,0.005121925,0.005339939,0.007802444],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002093262,0.00003066663,0.003049536,0.0002021738,0.00001506174,0.0005737064,0.06000042,0.00009828091,0.0001335751,0.9076931,0.009973112,0.01820954],"study_design_scores_gemma":[0.00002701955,0.00007655055,0.004150554,0.004555384,0.00003891977,0.001930144,0.09107371,0.0002183153,0.0009198369,0.5658249,0.3310906,0.00009408096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01788988,0.03280717,0.01102076,0.8960868,0.001271968,0.00006129649,0.00006370764,0.0000418431,0.04075659],"genre_scores_gemma":[0.7069201,0.03374233,0.01687508,0.2325191,0.001854455,0.00037318,0.00007757469,0.0001227536,0.007515424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9838315,"threshold_uncertainty_score":0.5858163,"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."}}