{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000732664,0.000370619,0.0004237944,0.0003642954,0.0002291287,0.0004821617,0.0005509476,0.0009641402,0.002575294],"category_scores_gemma":[0.005744832,0.0001901078,0.000302417,0.0002256684,0.001405409,0.001229946,0.0008700565,0.001367396,0.0005762692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774045,"about_ca_system_score_gemma":0.0001749337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004190059,"about_ca_topic_score_gemma":0.0003103468,"domain_scores_codex":[0.999734,0.00004610278,0.00002525588,0.0000500085,0.0001154661,0.00002917204],"domain_scores_gemma":[0.9976047,0.0009195773,0.000594629,0.0006504703,0.0001089752,0.0001216959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01345227,0.001270122,0.08634011,0.001212055,0.000762854,0.1810667,0.004906314,0.003194171,0.3902225,0.02825383,0.0188688,0.2704502],"study_design_scores_gemma":[0.0008470026,0.005083334,0.2218311,0.0002320839,0.000476641,0.4456307,0.001185332,0.00898331,0.1677861,0.1263124,0.02139175,0.0002402562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834324,0.00157602,0.006957589,0.001798214,0.000339391,0.00002084476,0.000154138,0.0003770546,0.005344389],"genre_scores_gemma":[0.996946,0.0005658839,0.0008049765,0.0004047442,0.00006823712,0.000006432799,0.00009499823,0.00002614687,0.001082576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002575294,"threshold_uncertainty_score":0.008615255,"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."}}