{"id":"W3170551137","doi":"10.1038/s41587-021-00947-y","title":"Mobilizing the private sector for responsible innovation in neurotechnology","year":2021,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; McGill University","funders":"Horizon 2020 Framework Programme; Canada Research Chairs; Canadian Institutes of Health Research; European Commission","keywords":"Business; Private sector; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01022643,0.00079363,0.001133133,0.0007186264,0.0101916,0.01271911,0.00213225,0.1552515,0.00683468],"category_scores_gemma":[0.0340068,0.0008593681,0.001261693,0.0005935789,0.009768204,0.009550717,0.005511796,0.07327027,0.003321279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008320711,"about_ca_system_score_gemma":0.02328398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102009,"about_ca_topic_score_gemma":0.02403827,"domain_scores_codex":[0.9904129,0.002793875,0.0005544496,0.001022225,0.002548207,0.002668307],"domain_scores_gemma":[0.9713922,0.02024283,0.001266253,0.0007012456,0.002358678,0.0040388],"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":[0.0001810075,0.0001464033,0.001175642,0.0001154199,0.00004317264,0.002958635,0.001171557,0.0002282659,0.001181662,0.109466,0.8697028,0.01362938],"study_design_scores_gemma":[0.0002343453,0.00007990325,0.00107935,0.0003661279,0.00003605962,0.001069552,0.00222634,0.001495224,0.0008891867,0.1213858,0.8710388,0.00009927822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007485991,0.0007291749,0.0002381357,0.9872717,0.003826396,0.00001419645,0.00001371565,0.00001081312,0.007147206],"genre_scores_gemma":[0.01091792,0.0004269817,0.0002499456,0.9681382,0.005582701,0.00004485537,0.000007046421,0.00001603402,0.01461635],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1552515,"threshold_uncertainty_score":0.06037122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06853633695144117,"score_gpt":0.3343319964084192,"score_spread":0.265795659456978,"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."}}