{"id":"W2142247266","doi":"10.1523/jneurosci.2999-14.2015","title":"Recency, Repetition, and the Multidimensional Basis of Recognition Memory","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"Repetition (rhetorical device); Psychology; Cognitive psychology; Recognition memory; TRACE (psycholinguistics); Engram; Encoding (memory); Episodic memory; Explicit memory; Neuroscience; Cognition","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":[0.001430274,0.00007866011,0.0001753317,0.00009838231,0.0001286012,0.0000379749,0.0002884888,0.00002410192,0.00001301623],"category_scores_gemma":[0.007562079,0.0000452504,0.00005348971,0.0003957754,0.000835791,0.0006499461,0.00006547775,0.0001646831,0.000003255478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009866256,"about_ca_system_score_gemma":0.0001577307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006551287,"about_ca_topic_score_gemma":6.474253e-7,"domain_scores_codex":[0.9983492,0.0002263155,0.0004485912,0.0001866818,0.0006622927,0.0001268408],"domain_scores_gemma":[0.9983987,0.0003810345,0.0006102116,0.0001337861,0.0003516458,0.0001246272],"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":[0.0005010197,0.0001156608,0.0005083093,0.00003077823,0.000001266324,0.00004618711,0.0007554646,0.0001969115,0.9873794,0.001058916,0.0009477877,0.008458325],"study_design_scores_gemma":[0.003218906,0.001002579,0.008741131,0.0001932618,0.00003798311,0.003029392,0.0006301096,0.002396195,0.9635517,0.01202026,0.00496171,0.0002167988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956231,0.0001627125,0.0001508316,0.002028232,0.0007722643,0.00008685579,0.000004230259,0.000005964291,0.001165869],"genre_scores_gemma":[0.9967495,0.0005992975,0.0005639259,0.001913663,0.00006983175,0.00000137888,5.287983e-8,0.000004304506,0.00009805494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0238277,"threshold_uncertainty_score":0.9053062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09398169796227468,"score_gpt":0.2973277950443687,"score_spread":0.2033460970820941,"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."}}