{"id":"W2962855203","doi":"10.1080/21507740.2019.1632958","title":"Neuroethics at 15: The Current and Future Environment for Neuroethics","year":2019,"lang":"en","type":"article","venue":"AJOB Neuroscience","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; National Institutes of Health; Canadian Open Neuroscience Platform","keywords":"Neuroethics; Scholarship; Engineering ethics; Politics; Sociology; Psychology; Environmental ethics; Cognitive science; Political science; Neuroscience; Engineering; Law; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.04379088,0.0005767659,0.001416748,0.002052243,0.01435445,0.02708796,0.001983316,0.01907655,0.01902474],"category_scores_gemma":[0.01934245,0.0005897647,0.001255494,0.001461246,0.04937885,0.03698447,0.01981883,0.03280091,0.003222314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01070956,"about_ca_system_score_gemma":0.04000141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279486,"about_ca_topic_score_gemma":0.004632907,"domain_scores_codex":[0.9810906,0.01056157,0.0008297145,0.001687029,0.003129302,0.002701946],"domain_scores_gemma":[0.9618416,0.01568948,0.001863978,0.001886945,0.004423498,0.01429449],"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":[0.00005083267,0.0001139718,0.001144031,0.0003023992,0.00001551292,0.00024251,0.006094178,0.0001548635,0.0005560801,0.8565969,0.07283393,0.06189479],"study_design_scores_gemma":[0.00001598957,0.00007830059,0.0009233652,0.001573144,0.00001219918,0.0003486808,0.007299737,0.0002246615,0.0001750113,0.6328887,0.3563977,0.00006250549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003308569,0.04309077,0.004761766,0.9092933,0.005965108,0.00002751706,0.00005474269,0.00008820562,0.03341004],"genre_scores_gemma":[0.3162089,0.08954699,0.03344779,0.5090642,0.02270065,0.0004213304,0.0002300811,0.0003855496,0.02799454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04379088,"threshold_uncertainty_score":0.2315912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07535228321212072,"score_gpt":0.3279838065006304,"score_spread":0.2526315232885096,"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."}}