{"id":"W2604376600","doi":"10.3389/fgene.2017.00040","title":"Disease Resistance and the Definition of Genetic Enhancement","year":2017,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Canadian Institutes of Health Research","keywords":"Disease; Context (archaeology); Genome editing; Resistance (ecology); Affect (linguistics); Public health; Psychological intervention; Mechanism (biology); CRISPR; Internet privacy; Medicine; Psychology; Biology; Genetics; Computer science; Gene; Psychiatry; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001205484,0.00008686077,0.0001095888,0.00002197116,0.00008474058,0.00002180781,0.0002072606,0.0000428487,0.000001812315],"category_scores_gemma":[0.00007979293,0.00007337616,0.00003582916,0.00001753334,0.0002607178,0.00000136513,0.0001013262,0.00004055262,3.057073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000528375,"about_ca_system_score_gemma":0.00002288279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004148852,"about_ca_topic_score_gemma":0.00002563726,"domain_scores_codex":[0.9994239,0.00002450869,0.0001644469,0.0001730366,0.0000858679,0.0001282686],"domain_scores_gemma":[0.9993284,0.000005146733,0.00008058529,0.0005149938,0.00002613594,0.00004472993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002859045,0.0002451019,0.809982,0.0006564997,0.0002967094,0.00002431247,0.0008941465,0.002731164,0.1162451,0.003020341,0.01730012,0.04574548],"study_design_scores_gemma":[0.005719018,0.0001520861,0.8263732,0.0001343811,0.0001285873,0.00000305033,0.0002065803,0.002687712,0.1255175,0.01474171,0.02379215,0.0005440322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468133,0.03237268,0.1183317,0.0002943209,0.0004617595,0.0002847346,0.00001418438,0.000002741539,0.001424615],"genre_scores_gemma":[0.9608156,0.006403441,0.03243151,0.00003926371,0.00006376678,0.00002242574,0.000007151673,0.0000103531,0.0002064893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1140024,"threshold_uncertainty_score":0.2992193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006763316405421447,"score_gpt":0.255962711966483,"score_spread":0.2491993955610615,"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."}}