{"id":"W2887516360","doi":"10.1007/s00439-018-1926-8","title":"Correction to: China: concurring regulation of cross-border genomic data sharing for statist control and individual protection","year":2018,"lang":"en","type":"erratum","venue":"Human Genetics","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Internet portal; Biology; China; Data sharing; Human genetics; Chen; Control (management); The Internet; Genetics; Computational biology; Political science; World Wide Web; Law; Computer science; Gene; Management; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005282261,0.000246861,0.0003336283,0.0001558786,0.0004125234,0.0005584089,0.001177923,0.0002189994,0.00004324256],"category_scores_gemma":[0.0002069143,0.0002417882,0.00004086727,0.0001302281,0.0001998399,0.0002916092,0.0009600068,0.0002700549,0.000005690934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007570383,"about_ca_system_score_gemma":0.0001335431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000142896,"about_ca_topic_score_gemma":0.000243619,"domain_scores_codex":[0.9979977,0.00004853136,0.0004923337,0.0009039363,0.0002813295,0.000276195],"domain_scores_gemma":[0.9981174,0.00004090028,0.0003590862,0.001074152,0.0003299941,0.00007850892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008103812,0.00008138833,0.0003285065,0.0005593373,0.0002279991,5.574357e-7,0.004011454,0.0006121742,0.009566439,0.0006632179,0.9083534,0.07551446],"study_design_scores_gemma":[0.00110283,0.001437365,0.02906591,0.000301814,0.0001014815,0.00001636495,0.00001436977,0.7579086,0.00149005,0.001413857,0.2065341,0.0006133265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007451234,0.0006202054,0.9712983,0.00002813908,0.01651579,0.001703239,0.0002761304,0.00008937871,0.002017625],"genre_scores_gemma":[0.7988448,0.0002940084,0.04042491,0.0004250678,0.008656807,0.000330265,0.002448051,0.000286631,0.1482895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9308733,"threshold_uncertainty_score":0.9859836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07454448230022856,"score_gpt":0.3535380044817447,"score_spread":0.2789935221815162,"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."}}