{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009747932,0.000787062,0.001194584,0.002772154,0.002252656,0.004654951,0.001846448,0.005833715,0.001513096],"category_scores_gemma":[0.01008234,0.0003233496,0.001232284,0.001450302,0.05069141,0.006971334,0.004383275,0.007587585,0.0004137825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003638598,"about_ca_system_score_gemma":0.001648857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061023,"about_ca_topic_score_gemma":0.0005272477,"domain_scores_codex":[0.9880683,0.006319696,0.001333491,0.001868589,0.001728477,0.0006814487],"domain_scores_gemma":[0.9886279,0.007253201,0.001689951,0.001145628,0.0009033837,0.0003801172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001677355,0.00001026458,0.0002926781,0.0001019059,0.00000815443,0.0001415985,0.0009975203,0.0002333794,0.0004529051,0.9896713,0.0009218228,0.007151581],"study_design_scores_gemma":[0.00001522342,0.0001137944,0.0007411261,0.0003969216,0.00003336332,0.001698391,0.0008093576,0.0006338287,0.001045283,0.8363609,0.1580944,0.00005739048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06675664,0.147881,0.3633685,0.09651564,0.008143797,0.0003207629,0.0003850207,0.0003141832,0.3163146],"genre_scores_gemma":[0.7723789,0.05017596,0.1200285,0.03068204,0.005673458,0.00115233,0.0002695535,0.0002321393,0.01940716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009747932,"threshold_uncertainty_score":0.05155265,"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."}}