{"id":"W2508591601","doi":"10.3390/laws5030037","title":"The Discussions around Precision Genetic Engineering: Role of and Impact on Disabled People","year":2016,"lang":"en","type":"article","venue":"Laws","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Corporate governance; Stakeholder; Genetic discrimination; Intervention (counseling); Public relations; Political science; Psychology; Engineering ethics; Sociology; Genetic testing; Engineering; Business; Genetics","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":[0.00005696301,0.00009047284,0.0000777418,0.00001234715,0.00004178183,0.00001107564,0.00008858811,0.00004709062,0.000006153386],"category_scores_gemma":[0.0000599099,0.00004070876,0.00005025697,0.00003428812,0.00002336626,0.000001380374,0.00005721503,0.00002543466,0.00000246269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000536198,"about_ca_system_score_gemma":0.000008698345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006828666,"about_ca_topic_score_gemma":0.00002296757,"domain_scores_codex":[0.9995454,0.00001090632,0.0001019719,0.0001350726,0.00006669987,0.000139953],"domain_scores_gemma":[0.9996039,0.0000486906,0.00002182416,0.0002553363,0.00001431159,0.00005589143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004417956,0.00001753823,0.004327379,0.000004969299,0.00002438919,1.783664e-7,0.0000318212,0.001480018,0.9741302,0.0001928937,0.0001717528,0.01957471],"study_design_scores_gemma":[0.0008512497,0.0007552132,0.2643974,0.00008392297,0.00003040795,0.00001755955,0.00009764452,0.002761506,0.6990097,0.0006330291,0.03104468,0.0003176627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954855,0.0008348479,0.003197043,0.0001074593,0.00005140031,0.00008952633,0.00001211586,0.000006115419,0.0002160101],"genre_scores_gemma":[0.9989982,0.0004268792,0.0001811203,0.000004589649,0.00007299766,0.000009544611,0.000002990089,0.00001290657,0.0002907971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2751205,"threshold_uncertainty_score":0.1660055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003134371290848921,"score_gpt":0.2623204722476781,"score_spread":0.2591861009568291,"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."}}