{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133688,0.0001014122,0.0001064679,0.0001741322,0.0009282517,0.00004503545,0.0001305041,0.00004922624,0.0003911743],"category_scores_gemma":[0.0002177976,0.0001122293,0.00002120788,0.0005290133,0.0003334496,0.0001024084,0.0002416835,0.0004617585,0.000009263561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000241948,"about_ca_system_score_gemma":0.00003426864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004141747,"about_ca_topic_score_gemma":0.000002529869,"domain_scores_codex":[0.9988435,0.0001391676,0.0001996202,0.0003700805,0.0002412323,0.0002063955],"domain_scores_gemma":[0.9995334,0.0001231837,0.0001200714,0.000138006,0.00004663347,0.00003874816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001604116,0.00008106633,0.0001125728,0.00002532812,0.00000272601,0.00006326765,0.0001678043,0.00002588619,0.952938,0.0285854,0.00008902035,0.01789285],"study_design_scores_gemma":[0.00539713,0.001112248,0.002096684,0.0001208397,0.0002114698,0.002108648,0.006769318,0.05598796,0.5034144,0.3747059,0.04608157,0.001993822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927099,0.00004316416,0.002536113,0.00264073,0.0007579589,0.0002444324,0.00003995634,0.000166849,0.0008609031],"genre_scores_gemma":[0.9956734,0.00002155628,0.0001115777,0.003936843,0.0001157242,0.00004135679,0.000008274809,0.00001571607,0.00007551812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495236,"threshold_uncertainty_score":0.7139455,"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."}}