{"id":"W4387392853","doi":"10.3758/s13421-023-01464-w","title":"The emergence of all-or-none retrieval of chunks in verbal serial recall","year":2023,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Recall; Psychology; Encoding specificity principle; Free recall; Word (group theory); Cognitive psychology; Serial position effect; Recall test; Verbal learning; Natural language processing; Cued speech; Speech recognition; Cognition; Computer science; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006343431,0.0001366538,0.0002660007,0.0004242627,0.0002818747,0.001380523,0.0003533023,0.000378685,0.001994509],"category_scores_gemma":[0.009004403,0.0003502988,0.0001584791,0.0003109661,0.0007511636,0.001468127,0.0006227194,0.0007492793,0.0003575203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093794,"about_ca_system_score_gemma":0.0003445929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007945558,"about_ca_topic_score_gemma":0.001295925,"domain_scores_codex":[0.9997224,0.00005728644,0.00002518528,0.00006523557,0.00008884288,0.00004108435],"domain_scores_gemma":[0.9953321,0.002498974,0.0005340419,0.0009431601,0.0004974781,0.0001941964],"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":[0.003161173,0.000431156,0.07668141,0.0003611384,0.0001667922,0.001401036,0.004055664,0.002214463,0.704401,0.02982799,0.001783785,0.1755144],"study_design_scores_gemma":[0.0002339882,0.001133239,0.715646,0.00007580166,0.0002362752,0.003606598,0.001999735,0.01864604,0.1877116,0.06710581,0.003495205,0.0001097314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897673,0.0002537373,0.004406596,0.00009489565,0.00002701554,0.00001265614,0.00008096707,0.00009445225,0.005262349],"genre_scores_gemma":[0.9979747,0.00009361585,0.00113673,0.00002078041,0.00001280879,0.000006823033,0.00008402385,0.00002861285,0.0006419478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001994509,"threshold_uncertainty_score":0.006672323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08790988535821516,"score_gpt":0.3278621234552403,"score_spread":0.2399522380970252,"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."}}