{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01244303,0.001765726,0.001389851,0.003122865,0.001188482,0.008951976,0.004771596,0.003513086,0.2007342],"category_scores_gemma":[0.02161434,0.001812262,0.002195984,0.00292671,0.001319479,0.01069408,0.007888077,0.00570654,0.2072399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660594,"about_ca_system_score_gemma":0.00499722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531059,"about_ca_topic_score_gemma":0.001315723,"domain_scores_codex":[0.9965799,0.001126831,0.0002743627,0.0003711385,0.001184857,0.0004629758],"domain_scores_gemma":[0.9861898,0.005039707,0.0007215299,0.004252505,0.001914983,0.001881544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000362923,0.0001449448,0.001835907,0.0006527147,0.0001128861,0.000246592,0.0006935891,0.002015863,0.002445688,0.1278793,0.7000361,0.1635735],"study_design_scores_gemma":[0.000078039,0.00003754321,0.0007051477,0.0002717363,0.0000311213,0.000257197,0.00009702482,0.004594384,0.001634087,0.0574044,0.9348139,0.00007539493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.002462499,0.001361576,0.3879442,0.01663116,0.002410925,0.0006322382,0.02088028,0.369491,0.1981861],"genre_scores_gemma":[0.03847544,0.00347189,0.5196788,0.008062085,0.001778101,0.002373451,0.06999029,0.1593693,0.1968007],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9988115,"threshold_uncertainty_score":0.6715226,"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."}}