{"id":"W4285225387","doi":"10.7202/1089801ar","title":"The Better I Can Be: In Defence of Human Enhancement for a New Genetic Equality","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Bioethics","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Inequality; Dimension (graph theory); Value (mathematics); Human enhancement; Environmental ethics; Human genetic variation; Sociology; Epistemology; Law and economics; Positive economics; Computer science; Genetics; Biology; Human genome; Mathematics; Economics; Philosophy; Genome; Gene; Pure mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0154047,0.0005700203,0.000872644,0.0008993633,0.007722669,0.01139309,0.001431214,0.009183847,0.009332879],"category_scores_gemma":[0.02041742,0.000257115,0.0006855798,0.0005113814,0.04649543,0.01433846,0.00904981,0.01484338,0.002121978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005112934,"about_ca_system_score_gemma":0.007809287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004598419,"about_ca_topic_score_gemma":0.005973715,"domain_scores_codex":[0.9883848,0.006413504,0.0002233055,0.001435666,0.002106804,0.001435848],"domain_scores_gemma":[0.9896203,0.004929419,0.0008857257,0.001597208,0.001321063,0.001646299],"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":[0.0000186882,0.00001618087,0.00030886,0.00002863444,0.000005965663,0.00005185023,0.003533182,0.00005856023,0.0001521792,0.9798778,0.009830619,0.006117426],"study_design_scores_gemma":[0.00002214779,0.00004730641,0.0004760724,0.0002430345,0.00001846467,0.0002000263,0.004563827,0.0001886967,0.0005019619,0.7342098,0.2594976,0.00003118457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01202895,0.005419264,0.01106124,0.718129,0.002786224,0.00003181151,0.00003940986,0.0000498173,0.2504542],"genre_scores_gemma":[0.6930835,0.003593787,0.008439974,0.206897,0.002483179,0.0001397399,0.0000512034,0.0001362982,0.08517542],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0154047,"threshold_uncertainty_score":0.08146882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2130907798800652,"score_gpt":0.3827030713328495,"score_spread":0.1696122914527843,"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."}}