{"id":"W4292295008","doi":"10.1016/bs.dnb.2022.06.001","title":"The neuroethics of architecture","year":2022,"lang":"en","type":"book-chapter","venue":"Developments in neuroethics and bioethics","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; NeuroDevNet","funders":"","keywords":"Neuroethics; Architecture; Cognitive science; Space (punctuation); Process (computing); Diversity (politics); Built environment; Psychology; Engineering ethics; Neuroscience; Sociology; Computer science; Engineering; Ecology; Geography; Biology","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":[0.001173018,0.0005213475,0.0002825918,0.0007434,0.001405963,0.004434959,0.0007862411,0.001816354,0.007046642],"category_scores_gemma":[0.002072641,0.0002719318,0.0002112455,0.0006122181,0.02113369,0.005217695,0.001549216,0.004163693,0.001321888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649058,"about_ca_system_score_gemma":0.002049371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002419641,"about_ca_topic_score_gemma":0.003365693,"domain_scores_codex":[0.9993618,0.0003851569,0.00001278769,0.00006772306,0.0001306108,0.0000419752],"domain_scores_gemma":[0.9991042,0.0005791485,0.00003565644,0.0001383925,0.00009281287,0.00004985238],"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":[0.000001321297,0.00000229049,0.00001820323,0.000007113295,6.367902e-7,0.000006942435,0.0001851237,0.00007804,0.00002481345,0.9929101,0.003243254,0.003522124],"study_design_scores_gemma":[0.000002054481,0.000002507495,0.0000689646,0.00003386632,8.623625e-7,0.00002665908,0.0001226146,0.0001886857,0.0000442397,0.9119882,0.0875193,0.000002095932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002994095,0.02085919,0.0181412,0.02155432,0.001011959,0.00001852731,0.00002557336,0.00005827305,0.9353369],"genre_scores_gemma":[0.4419839,0.02555834,0.03207624,0.01029131,0.003378083,0.0002697613,0.0001026554,0.0002884396,0.4860513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007046642,"threshold_uncertainty_score":0.02357334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2494455098952836,"score_gpt":0.3860528843087814,"score_spread":0.1366073744134978,"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."}}