{"id":"W1969697370","doi":"10.1126/science.1218015","title":"ELSI 2.0 for Genomics and Society","year":2012,"lang":"en","type":"article","venue":"Science","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Fogarty International Center; National Human Genome Research Institute; National Center for Research Resources; Wellcome Trust","keywords":"Genomics; Engineering ethics; Political science; Data science; Biology; Genetics; Genome; Computer science; Engineering; Gene","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":[0.0002400281,0.00004005964,0.00003282508,0.000007121021,0.0001144979,0.00002346046,0.0000917021,0.00002635632,0.000001381349],"category_scores_gemma":[0.00006370418,0.00003831194,0.00002504289,0.00003984916,0.0001966966,0.000003648732,0.00009082984,0.0000143585,0.000001469832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309647,"about_ca_system_score_gemma":0.00008648887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002044868,"about_ca_topic_score_gemma":0.000001793456,"domain_scores_codex":[0.9995828,0.000001446776,0.00004400921,0.0001323663,0.00004132392,0.0001980545],"domain_scores_gemma":[0.9997451,0.000008887996,0.00001684934,0.0001118443,0.00003403629,0.00008326845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005458878,0.00001437464,0.003828643,0.000005632098,0.000003485517,1.699568e-8,0.0001591041,0.000008552157,0.9873477,0.001306355,0.002033927,0.005286748],"study_design_scores_gemma":[0.0003039163,0.0001113267,0.02020849,0.000001950354,0.000009123582,0.000007774814,0.0001613354,0.0003269209,0.4314507,0.0003853559,0.5468624,0.0001707389],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935285,0.001460783,0.003983623,0.00008650934,0.0002541105,0.00009199787,0.00001685921,0.000002675207,0.0005749551],"genre_scores_gemma":[0.9908888,0.0003776862,0.007750181,0.0005396293,0.0003008962,0.000009070464,0.000005031465,0.000004714217,0.0001240439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.555897,"threshold_uncertainty_score":0.1562315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021903154027818,"score_gpt":0.2624949722371274,"score_spread":0.2522759406968492,"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."}}