{"id":"W2564719803","doi":"10.1038/gim.2016.189","title":"Public variant databases: liability?","year":2016,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; Government of Canada; Genome Canada","keywords":"Data sharing; Context (archaeology); Liability; Harm; Interpretation (philosophy); Corporate governance; Business; Medicine; Database; Political science; Computer science; Law; Alternative medicine; Biology; Accounting","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1221929,0.0004326907,0.001090884,0.002086724,0.00491216,0.01486071,0.00472884,0.01564383,0.006742332],"category_scores_gemma":[0.2738298,0.0008727742,0.0008687724,0.003266894,0.01846309,0.02220016,0.01503367,0.01434911,0.002258347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004175636,"about_ca_system_score_gemma":0.01884647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199982,"about_ca_topic_score_gemma":0.003050469,"domain_scores_codex":[0.8419607,0.08882345,0.01426617,0.01125552,0.03761958,0.006074579],"domain_scores_gemma":[0.6566965,0.238364,0.02490885,0.04054056,0.02726871,0.01222143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006354813,0.00005178182,0.00704533,0.0001782145,0.00005262897,0.001128094,0.004789049,0.0004536382,0.0002411575,0.8261788,0.1111446,0.04867305],"study_design_scores_gemma":[0.00005834592,0.00006214678,0.002362791,0.001692336,0.0000522824,0.00412203,0.00414047,0.001744712,0.0007780484,0.6991684,0.2857339,0.00008457831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01203942,0.00473596,0.05529428,0.8667352,0.001863167,0.0001080833,0.0003111478,0.00030178,0.05861097],"genre_scores_gemma":[0.540921,0.00742601,0.0325686,0.3995973,0.005071712,0.000405817,0.0008062611,0.0004551393,0.01274818],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9843562,"threshold_uncertainty_score":0.6462256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.700265549801828,"score_gpt":0.5842779702308315,"score_spread":0.1159875795709965,"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."}}