{"id":"W2062289613","doi":"10.1111/j.1467-8519.2004.00376.x","title":"The Inevitability of Genetic Enhancement Technologies","year":2004,"lang":"en","type":"article","venue":"Bioethics","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Associated Medical Services","keywords":"Human enhancement; Genetic engineering; Emerging technologies; Bioethics; Engineering ethics; Environmental ethics; Epistemology; Sociology; Psychology; Political science; Computer science; Biology; Law; Philosophy; Genetics; Artificial intelligence; Engineering","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":[0.02722455,0.0005806795,0.0006392093,0.00126696,0.003556282,0.007356714,0.001535014,0.00812517,0.001795719],"category_scores_gemma":[0.02831977,0.0003289861,0.0006085737,0.0006216143,0.04572213,0.00721396,0.005226203,0.007760958,0.0005147868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566216,"about_ca_system_score_gemma":0.003226762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00050804,"about_ca_topic_score_gemma":0.0005358916,"domain_scores_codex":[0.976939,0.0123394,0.0007287028,0.001868668,0.007346374,0.0007777965],"domain_scores_gemma":[0.9693727,0.02287196,0.002664382,0.002163635,0.002218513,0.0007088433],"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":[0.00001341197,0.00001402049,0.0003326562,0.0000549489,0.000005489707,0.0001720014,0.001592177,0.0002546883,0.0005310703,0.9893351,0.001241963,0.00645248],"study_design_scores_gemma":[0.00001203184,0.00004381513,0.0001967463,0.0002132777,0.0000127739,0.000695501,0.0009766163,0.0003437589,0.001482554,0.915097,0.08090612,0.00001974986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07276099,0.02419584,0.1401859,0.3769244,0.002276198,0.000158086,0.00006141503,0.0001865818,0.3832506],"genre_scores_gemma":[0.8576875,0.01337077,0.0526046,0.04607202,0.001419918,0.0005342729,0.00003339897,0.0001023578,0.02817496],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02722455,"threshold_uncertainty_score":0.143979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170579501904245,"score_gpt":0.3621847435672438,"score_spread":0.2451267933768194,"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."}}