{"id":"W4320891359","doi":"10.1146/annurev-genom-101322-113255","title":"Open Data in the Era of the GDPR: Lessons from the Human Cell Atlas","year":2023,"lang":"en","type":"review","venue":"Annual Review of Genomics and Human Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Data sharing; Open data; General Data Protection Regulation; Data governance; European union; Corporate governance; Political science; Internet privacy; Data Protection Act 1998; Data science; Business; Knowledge management; Public relations; Computer science; Data quality; Medicine; Law; International trade","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":["open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.01037738,0.0003462106,0.002175067,0.00004085991,0.0002581892,0.00008397449,0.008095951,0.0003873182,0.00006077848],"category_scores_gemma":[0.002089728,0.0001598636,0.000407294,0.0003902575,0.0007920632,0.00002908509,0.00809665,0.003188226,0.00002140868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000475741,"about_ca_system_score_gemma":0.001258133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007354264,"about_ca_topic_score_gemma":0.002189369,"domain_scores_codex":[0.9952316,0.0009411402,0.001968179,0.0006883458,0.000858871,0.0003118892],"domain_scores_gemma":[0.9862076,0.007086801,0.001109071,0.00516709,0.0003320805,0.00009734049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000111387,0.0005749573,0.0003527161,0.3328912,0.0007586281,0.00002694992,0.002302745,4.21488e-7,0.00001299846,0.02669913,0.03810799,0.5982612],"study_design_scores_gemma":[0.0002173236,0.0001239035,0.0007356731,0.09375911,0.001347916,0.000003904036,0.000204987,8.057025e-7,0.000001270677,0.00460818,0.8988474,0.0001494924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004530817,0.9891863,5.095251e-7,0.00295717,0.00008423973,0.003259333,0.002221207,0.000003204313,0.001834983],"genre_scores_gemma":[0.0001248902,0.9966502,0.000131968,0.00123542,0.000290206,0.00005647219,0.0006193404,0.00007345755,0.0008180303],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8607394,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6424556971566524,"score_gpt":0.6179100221221567,"score_spread":0.02454567503449567,"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."}}