{"id":"W4312196391","doi":"10.1016/j.concog.2022.103450","title":"Emulating future neurotechnology using magic","year":2022,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; Fundação Bial; Vetenskapsrådet; Natural Sciences and Engineering Research Council of Canada","keywords":"MAGIC (telescope); Psychology; Cognitive psychology","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":[0.00272344,0.0003927549,0.0002036049,0.0002866411,0.0005270284,0.001034311,0.0006221698,0.0008075667,0.003634331],"category_scores_gemma":[0.008541577,0.0001834992,0.000239704,0.0001184556,0.002595781,0.001947668,0.002189068,0.0008426741,0.0003564216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005182862,"about_ca_system_score_gemma":0.0004863143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001861343,"about_ca_topic_score_gemma":0.0002088013,"domain_scores_codex":[0.9981358,0.001141414,0.0000690832,0.0002331187,0.0003124725,0.000108011],"domain_scores_gemma":[0.9960194,0.002398284,0.0005105426,0.0006594259,0.0002115243,0.000200872],"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":[0.0032185,0.001469497,0.02467072,0.001197875,0.0001300604,0.0008162468,0.02159764,0.02164854,0.174672,0.5829814,0.003712512,0.1638849],"study_design_scores_gemma":[0.0009042319,0.008445644,0.02602448,0.0005326331,0.0002004536,0.002142427,0.007596771,0.1296793,0.08705889,0.6395651,0.09754297,0.0003071256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7914352,0.0001882298,0.1615199,0.002336608,0.0001632354,0.0003918523,0.0001070101,0.0002724463,0.04358565],"genre_scores_gemma":[0.9620296,0.000067983,0.03597274,0.0002444375,0.00001189368,0.0002227861,0.00002725417,0.00001991445,0.001403363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003634331,"threshold_uncertainty_score":0.0144031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06067370796766643,"score_gpt":0.3007761886676524,"score_spread":0.240102480699986,"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."}}