{"id":"W3110504494","doi":"10.1177/0956797620958651","title":"Linking Detail to Temporal Structure in Naturalistic-Event Recall","year":2020,"lang":"en","type":"article","venue":"Psychological Science","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Recall; Psychology; Episodic memory; Contiguity; Context (archaeology); Cognitive psychology; Free recall; Recall test; Context-dependent memory; Serial position effect; Autobiographical memory; Event (particle physics); Developmental psychology; Cognition; Computer science; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003565331,0.0001370838,0.0001599889,0.00007001033,0.0001915257,0.000165172,0.001258992,0.00006771531,0.0003088817],"category_scores_gemma":[0.002955755,0.00009111295,0.00003090363,0.002237139,0.0004047855,0.0003256752,0.000206502,0.000347028,0.0001215039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221516,"about_ca_system_score_gemma":0.0000329126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007289325,"about_ca_topic_score_gemma":0.000008690995,"domain_scores_codex":[0.9975944,0.00006308946,0.0002776118,0.001010287,0.0005733593,0.0004812595],"domain_scores_gemma":[0.9992244,0.00009021128,0.00007103683,0.0002085797,0.00003905423,0.0003667456],"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":[0.00008144119,0.00006739479,0.01177239,0.00001688342,2.583279e-7,0.00008796672,0.0006591068,0.0007167984,0.9617882,0.00397615,0.0002237497,0.02060965],"study_design_scores_gemma":[0.001692376,0.003226323,0.3875526,0.0002431676,0.000009529942,0.0001702901,0.0003984822,0.01245064,0.4770677,0.04132434,0.07369435,0.002170215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886683,0.00002778456,0.0003852195,0.007483473,0.000316417,0.0002032702,0.00000558604,0.00006927463,0.002840661],"genre_scores_gemma":[0.9713482,0.000009610469,0.001852063,0.02666727,0.00008552763,0.000006394747,3.32231e-7,0.000003985984,0.00002657078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4847205,"threshold_uncertainty_score":0.3715478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069198153529891,"score_gpt":0.3868276729118214,"score_spread":0.2799078575588323,"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."}}