{"id":"W1605691217","doi":"10.1038/nrg1351","title":"Integrating ethics and science in the International HapMap Project","year":2004,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":330,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Dental and Craniofacial Research; National Institute of Environmental Health Sciences; National Institute of Neurological Disorders and Stroke; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; W. M. Keck Foundation; National Institute on Deafness and Other Communication Disorders; National Institute on Drug Abuse; National Institute of Mental Health; National Cancer Institute; National Eye Institute; Génome Québec; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; Ministry of Education, Culture, Sports, Science and Technology; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Beijing Normal University; Chinese Academy of Sciences; University Grants Committee; National Institute on Aging; Ministry of Education, Science and Technology; Innovation and Technology Commission; National Human Genome Research Institute; Wellcome Trust; Genome Canada","keywords":"International HapMap Project; Genomics; Variation (astronomy); Biology; Research ethics; Resource (disambiguation); Population; Engineering ethics; Sociology; Genetics; Human genome; Biotechnology; Genome; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007162311,0.001338153,0.001894918,0.003564163,0.001449132,0.004377774,0.001734517,0.007361065,0.002822646],"category_scores_gemma":[0.00749654,0.0006946612,0.0005192331,0.004774645,0.007538499,0.007779446,0.002936444,0.007666067,0.002386974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003899206,"about_ca_system_score_gemma":0.005692065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034371,"about_ca_topic_score_gemma":0.005861853,"domain_scores_codex":[0.9969283,0.001573867,0.0002251073,0.0001995999,0.0009553917,0.0001177814],"domain_scores_gemma":[0.9954385,0.003191948,0.0002308496,0.0001498115,0.000734363,0.0002545167],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003776611,0.00004578489,0.0002047394,0.005647588,0.00005010005,0.0004182426,0.0008517001,0.000562141,0.0002915675,0.07132693,0.1120407,0.8085227],"study_design_scores_gemma":[0.000008035727,0.00001802299,0.0002896276,0.003341403,0.00001142403,0.0005139365,0.0002465859,0.00005241637,0.00008358221,0.02542282,0.9699916,0.00002045855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004860569,0.9883085,0.0007578566,0.006639028,0.001344559,0.000006943998,0.000005543006,0.000009459079,0.002879499],"genre_scores_gemma":[0.0009649268,0.9918233,0.0009722968,0.003343434,0.001176379,0.0000239705,0.00001357735,0.000007847233,0.001674299],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9928377,"threshold_uncertainty_score":0.03787839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05795418524398172,"score_gpt":0.4156655757787075,"score_spread":0.3577113905347258,"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."}}