{"id":"W4398152111","doi":"10.1016/b978-0-12-820480-1.00135-2","title":"Memory and imagination","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Default mode network; Construct (python library); Schematic; Counterfactual thinking; Variety (cybernetics); Mode (computer interface); Cognitive science; Psychology; Autobiographical memory; Associative property; Neuroimaging; History; Cognitive psychology; Computer science; Neuroscience; Cognition; Social psychology; Recall; Engineering; Artificial intelligence","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":[0.0001578128,0.001178407,0.0005577171,0.001031326,0.0009168931,0.003476415,0.0007062982,0.001481141,0.1363176],"category_scores_gemma":[0.0004636344,0.0002968645,0.0002819163,0.001062883,0.001361047,0.0035905,0.001244163,0.001942008,0.06162077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009585489,"about_ca_system_score_gemma":0.0006080901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868645,"about_ca_topic_score_gemma":0.004104644,"domain_scores_codex":[0.9999089,0.00001429944,0.000004709819,0.00002218774,0.00003790129,0.00001192284],"domain_scores_gemma":[0.9999038,0.0000354853,0.000005891012,0.00002026874,0.00002074364,0.00001383301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003121246,0.00004479643,0.0001028838,0.0003481592,0.000008631589,0.0001351068,0.0008748128,0.0003482286,0.001324712,0.309818,0.2469644,0.439999],"study_design_scores_gemma":[0.000004535094,0.0000147768,0.0002219311,0.0002116405,0.000003690626,0.0001854739,0.0001593519,0.0001362342,0.0002203091,0.06498971,0.9338479,0.000004404935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006321709,0.02621062,0.002160733,0.001063425,0.0008577961,0.00001282203,0.00009087109,0.0001063534,0.9688653],"genre_scores_gemma":[0.005058855,0.007757132,0.0007003809,0.000304961,0.0002952662,0.00002054067,0.00007508023,0.00005039946,0.9857373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1363176,"threshold_uncertainty_score":0.4560277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04737954907774777,"score_gpt":0.2844720050262995,"score_spread":0.2370924559485517,"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."}}