{"id":"W3180133480","doi":"10.1186/s13073-021-00928-5","title":"An international policy on returning genomic research results","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; Duke-NUS Medical School; Genentech; Wellcome Trust","keywords":"Pace; Alliance; Genomics; Medicine; Science policy; Genomic medicine; Political science; Computational biology; Biology; Public administration; Genetics; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1454279,0.002431508,0.002127738,0.00406695,0.01033588,0.03420876,0.00826802,0.08826716,0.03212196],"category_scores_gemma":[0.2135676,0.002644431,0.004996001,0.003168415,0.01467737,0.03125328,0.02932915,0.0641984,0.01699927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00893684,"about_ca_system_score_gemma":0.06785832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202875,"about_ca_topic_score_gemma":0.006970004,"domain_scores_codex":[0.8616332,0.05079836,0.01029942,0.01373815,0.04253339,0.02099746],"domain_scores_gemma":[0.8317516,0.07728188,0.009547963,0.02258142,0.03291772,0.02591932],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001931698,0.0002340504,0.0007325767,0.0001979424,0.0000431745,0.0004482292,0.001221795,0.0003371385,0.0005547332,0.5517598,0.4233629,0.02091445],"study_design_scores_gemma":[0.0001236502,0.0001369761,0.0007833743,0.0006702783,0.00004709875,0.0004101506,0.0007624811,0.0003919426,0.0005515158,0.03680838,0.9592006,0.0001135459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002651786,0.002641956,0.01294937,0.7005087,0.0254277,0.000500819,0.0004802867,0.000663417,0.254176],"genre_scores_gemma":[0.0188132,0.001454004,0.01102501,0.8204302,0.004748912,0.0009153566,0.0004868154,0.0004804913,0.1416461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8545721,"threshold_uncertainty_score":0.7691057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060741727547137,"score_gpt":0.3835100571401762,"score_spread":0.3429026398647049,"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."}}