{"id":"W4226117693","doi":"10.2139/ssrn.4052730","title":"Neuroscience is Ready for Neuroethics Engagement","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroDevNet","funders":"","keywords":"Neuroethics; Neuroscience; Psychology; Cognitive science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02639839,0.0006263583,0.001157505,0.00142208,0.00651502,0.01997724,0.001355009,0.02555783,0.0633844],"category_scores_gemma":[0.04899177,0.0004609015,0.0009411254,0.00104312,0.01023278,0.01870414,0.01095474,0.02799467,0.02615513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005515934,"about_ca_system_score_gemma":0.02742571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349203,"about_ca_topic_score_gemma":0.002810037,"domain_scores_codex":[0.987111,0.004872425,0.0006023003,0.0009351711,0.00388084,0.002598396],"domain_scores_gemma":[0.959947,0.01475898,0.001514621,0.002492866,0.005548051,0.01573854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008276827,0.0001280184,0.0003146607,0.0001969218,0.00001957674,0.0002284099,0.0009874491,0.00007294869,0.0004365533,0.4251247,0.5213807,0.05102734],"study_design_scores_gemma":[0.00002794075,0.00004190358,0.0004116371,0.0005791687,0.000009537028,0.0001318749,0.001072351,0.00006112258,0.0002180435,0.2034068,0.7940127,0.00002682703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001108392,0.01082607,0.001468289,0.8581056,0.02188051,0.00002059594,0.00008817399,0.0001505026,0.1063519],"genre_scores_gemma":[0.104299,0.01524559,0.005231497,0.6993651,0.02384729,0.0001904031,0.0003511171,0.0004488672,0.1510211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0633844,"threshold_uncertainty_score":0.2120419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506368642526567,"score_gpt":0.3770581479443121,"score_spread":0.2264212836916554,"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."}}