{"id":"W2010882233","doi":"10.1016/j.cogpsych.2012.07.002","title":"A synchronization account of false recognition","year":2012,"lang":"en","type":"article","venue":"Cognitive Psychology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Synchronization (alternating current); Artificial intelligence; Variety (cybernetics); Natural language processing; Context (archaeology); Representation (politics); TRACE (psycholinguistics); Process (computing); Machine learning; Linguistics","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":[0.0001835123,0.00008804248,0.0001239976,0.00009163659,0.00005694072,0.000008290852,0.00010103,0.000073081,0.00085616],"category_scores_gemma":[0.001072382,0.00008010263,0.00003044282,0.0002824155,0.000195501,0.0003822558,0.00002332257,0.00008507134,0.0005352827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007531697,"about_ca_system_score_gemma":0.00001581686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002167969,"about_ca_topic_score_gemma":6.12014e-7,"domain_scores_codex":[0.9991073,0.0001133967,0.0002010571,0.0002285921,0.0001148777,0.0002347912],"domain_scores_gemma":[0.9993531,0.0001976299,0.0001538727,0.00009746003,0.0001411043,0.00005688039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003608607,0.0009666581,0.02410847,0.000142055,0.0000193707,0.000006794765,0.001680166,0.000001104268,0.4765795,0.001663453,0.0009484679,0.4935231],"study_design_scores_gemma":[0.001645859,0.0005313359,0.06021928,0.00015749,0.00006698733,0.0001587638,0.0005301888,0.00006182466,0.9227841,0.00864802,0.004770765,0.0004253429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612842,0.000301851,0.006239265,0.0001048971,0.0005488936,0.0001851146,0.00003408626,0.00003701793,0.03126471],"genre_scores_gemma":[0.9966419,0.000191628,0.00008551385,0.002850567,0.0001364647,0.00002842458,0.000009445728,0.000009710979,0.00004639105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4930977,"threshold_uncertainty_score":0.9374352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025307851552485,"score_gpt":0.3757741770290938,"score_spread":0.2732433918738453,"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."}}