{"id":"W2110997128","doi":"10.1017/s0963180107070144","title":"Guest Editorial: Neuroethics—From Neurotechnology to Healthcare","year":2007,"lang":"en","type":"editorial","venue":"Cambridge Quarterly of Healthcare Ethics","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Neuroethics; Bioethics; Face (sociological concept); Frontier; Engineering ethics; Health care; Ethical issues; Political science; Public health; Psychology; Public relations; Neuroscience; Medicine; Sociology; Social science; Nursing; Law","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":[0.0064223,0.003288472,0.002794179,0.002347058,0.003546812,0.0070669,0.003000874,0.01668145,0.008500378],"category_scores_gemma":[0.02081351,0.0008638778,0.001820804,0.001055137,0.004321283,0.005386407,0.00151848,0.02686728,0.007418952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003065528,"about_ca_system_score_gemma":0.00356773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583756,"about_ca_topic_score_gemma":0.003373268,"domain_scores_codex":[0.9953429,0.001138216,0.0004136085,0.0004990694,0.002328697,0.0002774974],"domain_scores_gemma":[0.9833382,0.008880804,0.000683433,0.000370393,0.004570235,0.002156961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001161438,0.000007527919,0.00001130609,0.00006385777,0.000004435347,0.00007382206,0.00002236592,0.00001515331,0.00002484245,0.0003803149,0.9974591,0.001925703],"study_design_scores_gemma":[0.00003430726,0.00002395958,0.0001810525,0.0004376631,0.00002764381,0.0003594552,0.0001228692,0.0002041367,0.0001275104,0.001833627,0.9966283,0.00001937007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003486483,0.003360091,0.0000993577,0.05462918,0.9400767,0.00001310507,0.00001653926,0.00002982323,0.00174038],"genre_scores_gemma":[0.0005684907,0.002777859,0.0001050306,0.0276489,0.9602787,0.00001790788,0.00001156612,0.00003326286,0.008558196],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01668145,"threshold_uncertainty_score":0.03396475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07948031057656325,"score_gpt":0.4016169737682632,"score_spread":0.3221366631917,"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."}}