{"id":"W2571966818","doi":"10.1001/journalofethics.2016.18.12.msoc1-1612","title":"Manipulating Memories: The Ethics of Yesterday's Science Fiction and Today's Reality","year":2016,"lang":"en","type":"article","venue":"The AMA Journal of Ethic","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"","keywords":"Yesterday; Neuroethics; Perspective (graphical); Outreach; Pillar; Engineering ethics; Psychology; Sociology; Political science; Computer science; Engineering; Neuroscience; Law","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.009683656,0.0001048307,0.0001666544,0.0001328749,0.000780036,0.0000769119,0.0008167911,0.00009801352,0.00003564611],"category_scores_gemma":[0.01951202,0.00004687349,0.00004955705,0.0007017349,0.0048107,0.0004148952,0.0002218208,0.001401874,0.000003269332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005189422,"about_ca_system_score_gemma":0.0003073112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001023794,"about_ca_topic_score_gemma":0.000007963563,"domain_scores_codex":[0.9970133,0.0006874276,0.0006645832,0.0001971431,0.001206207,0.0002313456],"domain_scores_gemma":[0.9923226,0.005670956,0.0009382485,0.0004245239,0.0005735905,0.00007013368],"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":[0.00002621379,0.00002920602,0.0002044618,0.00002935239,0.000005707339,0.000004408801,0.00334334,0.000008430008,0.9432694,0.05040115,0.0002060569,0.002472312],"study_design_scores_gemma":[0.0007087294,0.0004724558,0.01820033,0.0006576508,0.00005192159,0.0003055286,0.0009808225,0.00015579,0.8367496,0.1389522,0.002583165,0.0001819192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8397926,0.00004375126,0.006539706,0.1514571,0.0009078689,0.0001609289,0.000005688953,0.00001618268,0.001076116],"genre_scores_gemma":[0.9962318,0.0002681982,0.0001267519,0.003025611,0.0001876551,0.000001624599,3.776544e-8,0.000008881347,0.0001494549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564392,"threshold_uncertainty_score":0.9978976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19852745953518,"score_gpt":0.3982679072007439,"score_spread":0.1997404476655639,"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."}}