{"id":"W2329884733","doi":"10.5363/tits.18.2_74","title":"Canadian Neuroethics: How They Came Out on Top?","year":2013,"lang":"en","type":"article","venue":"TRENDS IN THE SCIENCES","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Neuroethics; Political science; Neuroscience; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05200634,0.001657441,0.001528108,0.005821345,0.0326165,0.03020965,0.0050979,0.02075711,0.0228342],"category_scores_gemma":[0.09805421,0.001455906,0.001743107,0.007658609,0.03208877,0.02055829,0.0134949,0.03597962,0.001772693],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2754931,"about_ca_system_score_gemma":0.5206751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9711412,"about_ca_topic_score_gemma":0.982133,"domain_scores_codex":[0.9550354,0.009757435,0.001274786,0.002906134,0.01776255,0.0132637],"domain_scores_gemma":[0.8810519,0.01626919,0.002538613,0.001976298,0.05100306,0.04716092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001140385,0.0001028958,0.003953576,0.0005321253,0.00008413666,0.0003612296,0.01375233,0.0003309756,0.0002600723,0.469847,0.4279848,0.08267684],"study_design_scores_gemma":[0.00007011634,0.00003814716,0.007276949,0.001487855,0.00006380161,0.0001187965,0.01996137,0.0003169218,0.0001854677,0.05694148,0.9133079,0.0002311681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002392783,0.01557973,0.0009537667,0.9427177,0.006683415,0.0000464026,0.0001335178,0.00005602829,0.03143673],"genre_scores_gemma":[0.2980645,0.04480101,0.01251724,0.5669298,0.005928037,0.0002438114,0.0004016169,0.0004463804,0.07066757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7245069,"threshold_uncertainty_score":0.8403253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1603200398863219,"score_gpt":0.3673764503031172,"score_spread":0.2070564104167953,"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."}}