{"id":"W3000630567","doi":"10.29173/hsi3","title":"The Need for Ethical and Experimental Regulation in Genome Editing","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Genome editing; Computational biology; Genome; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007321704,0.00004138789,0.00004567904,0.0000246665,0.0001433331,0.00002395146,0.00008280957,0.00004792608,0.000001126942],"category_scores_gemma":[0.0000397084,0.0000332378,0.00001022784,0.00007540653,0.0001513516,0.000003089834,0.00005114708,0.00006100984,8.336154e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001934125,"about_ca_system_score_gemma":0.00009394688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007373411,"about_ca_topic_score_gemma":0.000007660005,"domain_scores_codex":[0.9994125,0.000007570579,0.0001102202,0.0001757018,0.00008642021,0.0002075414],"domain_scores_gemma":[0.9997787,0.00001359216,0.00002539199,0.0001113213,0.00001957774,0.00005135568],"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":[0.00002114795,0.000006901464,0.001951299,0.00002369821,8.18776e-7,5.601099e-8,0.0007843075,0.0008426312,0.9932819,0.0005134987,0.0001715435,0.002402199],"study_design_scores_gemma":[0.002030557,0.00141877,0.2954261,0.00007448318,0.000002088113,0.00003367312,0.01000112,0.02929314,0.6145787,0.0003824747,0.04630875,0.0004501563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947829,0.0008409549,0.002390669,0.001317924,0.0003787811,0.0002376043,5.741748e-7,0.000003503555,0.00004703822],"genre_scores_gemma":[0.9985343,0.00003041767,0.0006725559,0.0005093206,0.0001986743,0.000015825,0.000003695945,0.000003894965,0.00003133628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3787032,"threshold_uncertainty_score":0.1355398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475300047017934,"score_gpt":0.3974308481062933,"score_spread":0.372677847636114,"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."}}