{"id":"W3044536178","doi":"10.7202/1068759ar","title":"Memory, Neuroscience and Memory Enhancement","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Bioethics","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Cognitive science; Construct (python library); Computer science; Narrative; Process (computing); Cognitive psychology; Episodic memory; Semiconductor memory; Psychology; Neuroscience; Artificial intelligence; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006676902,0.0001702014,0.0002306647,0.0002725395,0.0004132901,0.0001682911,0.0006360884,0.0001240852,0.0002240533],"category_scores_gemma":[0.00595771,0.0001625732,0.00005876161,0.0007644421,0.002591175,0.000301083,0.00006608192,0.001221866,0.00002976721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007692091,"about_ca_system_score_gemma":0.00161299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002835638,"about_ca_topic_score_gemma":0.0008072069,"domain_scores_codex":[0.9978395,0.0001718199,0.000584887,0.0003632984,0.0006027623,0.0004377746],"domain_scores_gemma":[0.9975889,0.0002807113,0.0003726798,0.000197563,0.0002317477,0.001328454],"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":[0.00002830795,0.00004648617,0.0001175548,0.0001045423,0.000008096126,0.0008912954,0.005038723,0.00003416824,0.9551441,0.01709154,0.01132981,0.01016536],"study_design_scores_gemma":[0.0007979927,0.001043454,0.0003419687,0.0001022502,0.00003183119,0.0002744911,0.000634145,0.0004769005,0.9173659,0.0032982,0.07521388,0.0004189593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.54294,0.0006343934,0.0124076,0.4288345,0.005505613,0.0006717591,0.0001054832,0.00006921915,0.008831474],"genre_scores_gemma":[0.9350662,0.0001713949,0.000356856,0.0638599,0.0002782657,0.000001865567,4.327323e-7,0.00001881307,0.0002462356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3921263,"threshold_uncertainty_score":0.9547292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1877984084125167,"score_gpt":0.3355432865170693,"score_spread":0.1477448781045526,"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."}}