{"id":"W4404301518","doi":"10.1017/cjn.2024.322","title":"Principles and Priorities for Responsible Innovation in Neurotechnology for Canada","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Centres Intégré Universitaires de Santé et de Services Sociaux; Université Laval; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; University of Ottawa; Queen's University; University of British Columbia","funders":"","keywords":"Content (measure theory); Action (physics); Computer science; Advertising; Business; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004882865,0.0002872626,0.0004091317,0.002295506,0.001969059,0.0008139994,0.001392369,0.0002014252,0.00002699748],"category_scores_gemma":[0.02222311,0.0002191524,0.00008901703,0.003176692,0.006437556,0.0008760155,0.00007457002,0.001225874,3.912435e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369123,"about_ca_system_score_gemma":0.01167531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009106066,"about_ca_topic_score_gemma":0.6686049,"domain_scores_codex":[0.9956533,0.0004821343,0.001308126,0.0007417884,0.0005945508,0.001220153],"domain_scores_gemma":[0.9944877,0.003899619,0.0005315379,0.0001281962,0.0004173923,0.0005355451],"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":[0.0004512834,0.00006200156,0.08536063,0.0002507623,0.00002247194,0.007584756,0.0009758671,0.002908913,0.01892115,0.8580063,0.00418675,0.02126909],"study_design_scores_gemma":[0.001397653,0.08483511,0.02755333,0.000367921,0.0000626067,0.02265633,0.0005312089,0.02105253,0.02405108,0.6179919,0.1982535,0.001246871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691738,0.0006350406,0.0004619338,0.02702337,0.001726222,0.0004754986,0.00006190321,0.00003078668,0.0004114341],"genre_scores_gemma":[0.9901372,0.0002148128,0.002792106,0.006497572,0.0002188778,0.00002687216,3.061121e-7,0.0000174676,0.00009479586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6594988,"threshold_uncertainty_score":0.9993302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093925540113592,"score_gpt":0.3341232885701187,"score_spread":0.2247307345587595,"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."}}