{"id":"W2010605544","doi":"10.1126/science.1194780","title":"Paradoxical False Memory for Objects After Brain Damage","year":2010,"lang":"en","type":"article","venue":"Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Memory impairment; Cognitive psychology; Object (grammar); Interference theory; Computer science; Cognition; Cognitive impairment; Visual memory; Psychology; Cognitive science; Memory errors; Neuroscience; Artificial intelligence; Working memory","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":[],"consensus_categories":[],"category_scores_codex":[0.0007890867,0.000124633,0.0001125593,0.000104005,0.0004015944,0.0001302673,0.0007557282,0.00005542758,0.0001974598],"category_scores_gemma":[0.003035114,0.00009984477,0.00005643605,0.0005197779,0.0007722175,0.000528933,0.0001403816,0.0002337796,0.0001845623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009672549,"about_ca_system_score_gemma":0.0001100913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.111789e-7,"about_ca_topic_score_gemma":0.00001218287,"domain_scores_codex":[0.9982071,0.00004051636,0.000145277,0.0006649279,0.0004293055,0.000512886],"domain_scores_gemma":[0.9988133,0.0003991008,0.00004681949,0.0004632841,0.00003472413,0.0002427578],"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":[0.00003156357,0.00002767305,0.00001415666,0.00000595271,1.088293e-7,0.0000214583,0.0001376668,0.000001001308,0.9940047,0.003774754,0.00009558537,0.001885431],"study_design_scores_gemma":[0.0001958557,0.0001092668,0.0007192623,0.00000498013,0.00000173485,0.00003231721,0.00002202104,0.0007929082,0.9882822,0.008512274,0.001178789,0.0001483801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947396,0.000003703622,0.0003500685,0.0009977059,0.001824695,0.0003474418,0.00001255164,0.00008269117,0.001641567],"genre_scores_gemma":[0.9921034,8.26721e-7,0.001164712,0.004892896,0.0001338212,0.0000708127,1.947087e-7,0.00000993393,0.001623405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005722438,"threshold_uncertainty_score":0.4071552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05510508857783911,"score_gpt":0.3377941225263368,"score_spread":0.2826890339484976,"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."}}