{"id":"W3217138754","doi":"10.3758/s13421-021-01249-z","title":"Accounting for item-level variance in recognition memory: Comparing word frequency and contextual diversity","year":2021,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Context (archaeology); Psychology; Variance (accounting); Word (group theory); Diversity (politics); Repetition (rhetorical device); Word lists by frequency; Cognitive psychology; Experimental psychology; Natural language processing; Computer science; Linguistics; Cognition; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.000438517,0.0001799158,0.0002673669,0.0001160493,0.0005549784,0.0001498133,0.000147722,0.00009299885,0.0001487344],"category_scores_gemma":[0.001988362,0.0002018056,0.0000517082,0.0003800151,0.0001168322,0.001042106,0.00018369,0.0002023513,0.00003178561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004427927,"about_ca_system_score_gemma":0.00007336451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006782499,"about_ca_topic_score_gemma":0.0002486197,"domain_scores_codex":[0.9983187,0.000125656,0.0003292869,0.0006409196,0.0002521718,0.0003332622],"domain_scores_gemma":[0.9988503,0.0005162226,0.0001814294,0.0001418484,0.0002371689,0.00007303652],"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":[0.0004508927,0.0004347507,0.01660195,0.001014416,0.00002714184,0.0002060908,0.003270969,0.00004302643,0.7857496,0.0006774272,0.000299363,0.1912244],"study_design_scores_gemma":[0.006900006,0.0002036337,0.08749166,0.001197346,0.0001701829,0.0002158364,0.005423384,0.00487721,0.8510814,0.04086648,0.0003043444,0.001268514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912943,0.0001540009,0.001255717,0.0002027293,0.0003539249,0.0004101848,0.00008855252,0.00007047226,0.006170078],"genre_scores_gemma":[0.9971923,0.0001040057,0.0008926357,0.001355374,0.0001407188,0.00005638667,0.00005351103,0.00001510674,0.0001899141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899559,"threshold_uncertainty_score":0.8229394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470968818987032,"score_gpt":0.292988137605037,"score_spread":0.1458912557063338,"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."}}