{"id":"W2775536557","doi":"10.1016/j.neuropsychologia.2017.12.020","title":"Autobiographical memory: From experiences to brain representations","year":2017,"lang":"en","type":"editorial","venue":"Neuropsychologia","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Baycrest Hospital; Health Sciences Centre; University of Toronto; University Health Network; Toronto Rehabilitation Institute","funders":"","keywords":"Autobiographical memory; Timeline; Recall; Psychology; Categorization; Cognitive psychology; Cognition; Life history; Developmental psychology; Computer science; Artificial intelligence; History","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005321138,0.0006548637,0.0008057372,0.0005508601,0.0005882403,0.0005074246,0.002783509,0.00156694,0.005101207],"category_scores_gemma":[0.002071943,0.0006372744,0.000445224,0.0004061536,0.0005374912,0.0001512462,0.000229168,0.001757901,0.003638841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003527369,"about_ca_system_score_gemma":0.0001124039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532101,"about_ca_topic_score_gemma":0.0002079966,"domain_scores_codex":[0.9945806,0.0007988212,0.000679686,0.002184982,0.0009450304,0.0008108601],"domain_scores_gemma":[0.9939835,0.001316145,0.0005313673,0.003585452,0.0002383024,0.0003452124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000251488,0.0002866856,0.0003274131,0.000004954096,0.0001580788,0.0004452878,0.006709951,3.291815e-7,0.0002631298,0.00006823862,0.9875601,0.003924368],"study_design_scores_gemma":[0.001192417,0.0004737769,0.02602369,0.00003717656,0.00006173639,0.000007177565,0.001381624,3.568636e-7,0.0000227726,0.0006882635,0.9694586,0.0006523936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.06573661,0.0003025496,0.00006885001,0.001920842,0.8703506,0.0006420352,0.0003488884,0.0003869021,0.06024269],"genre_scores_gemma":[0.01728255,0.0001239921,0.000215042,0.002408331,0.9377686,0.0008797659,0.0005792615,0.0002073194,0.04053516],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06741796,"threshold_uncertainty_score":0.9997292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0314057990258917,"score_gpt":0.3905343191807379,"score_spread":0.3591285201548463,"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."}}