{"id":"W2050192405","doi":"10.1016/j.bandc.2008.02.089","title":"Is making errors necessary for learning? A model of corticostriatal plasticity tells us why not","year":2008,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Aphasia; Psychology; Cognition; Cognitive psychology; Language production; Control (management); Neuroimaging; Aphasiology; Frontal lobe; Neuroscience of multilingualism; Set (abstract data type); Neuroscience; Artificial intelligence; Computer science","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":[0.00006579909,0.00008798391,0.0001284513,0.00005453239,0.0001666259,0.000008624878,0.00005719941,0.0000651098,0.00001890074],"category_scores_gemma":[0.0008073828,0.00008138789,0.00004901372,0.00006519177,0.0001676879,0.00008629527,0.00002979749,0.0001044742,0.000002855921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003130463,"about_ca_system_score_gemma":0.0000239879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005003096,"about_ca_topic_score_gemma":0.000002523023,"domain_scores_codex":[0.9992943,0.00005310128,0.0001617673,0.0002516008,0.00009043897,0.0001487532],"domain_scores_gemma":[0.9993131,0.000466867,0.0001069961,0.00004796524,0.00003457099,0.00003052757],"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":[0.0002607346,0.0000666855,0.0002320443,0.00004016324,0.000004341391,0.00004567486,0.0008958535,0.00008324876,0.9962085,0.00004666765,0.0005376954,0.00157832],"study_design_scores_gemma":[0.001489921,0.0004090123,0.0005493373,0.00005863654,0.00003860044,0.0003679981,0.0001322293,0.03410366,0.9611717,0.00116639,0.0003010239,0.0002115228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951677,0.00001190164,0.003768272,0.0003266128,0.00005019314,0.0001905697,0.0001076088,0.00003517449,0.0003419959],"genre_scores_gemma":[0.9918795,0.00002408204,0.0002454059,0.007622671,0.00004079663,0.00000896932,0.00001047767,0.000008880361,0.0001592387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0350369,"threshold_uncertainty_score":0.3318902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08375273474934344,"score_gpt":0.3029327932904983,"score_spread":0.2191800585411548,"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."}}