{"id":"W2004474578","doi":"10.1016/j.bandl.2011.08.002","title":"A new lexical card-sorting task for studying fronto-striatal contribution to processing language rules","year":2011,"lang":"en","type":"article","venue":"Brain and Language","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Centre hospitalier de l'Université Laval; Institut Universitaire de Gériatrie de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Psychology; Functional magnetic resonance imaging; Semantic memory; Ventrolateral prefrontal cortex; Cognitive psychology; Prefrontal cortex; Broca's area; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005583075,0.0006752699,0.0006492408,0.000468577,0.00048565,0.0008196669,0.001073806,0.001147876,0.005040014],"category_scores_gemma":[0.001436453,0.0004044314,0.0002306395,0.0003976238,0.0006875559,0.001445436,0.0007263477,0.001453109,0.0005314783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002831414,"about_ca_system_score_gemma":0.001104609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658232,"about_ca_topic_score_gemma":0.005565146,"domain_scores_codex":[0.9997877,0.00002874414,0.00002088084,0.00007086161,0.00006644655,0.00002524399],"domain_scores_gemma":[0.9991147,0.0003457305,0.0001210252,0.0001229806,0.0001073685,0.0001883095],"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":[0.001879906,0.001704839,0.005862907,0.0003096285,0.00006899388,0.0003280784,0.0001544053,0.000391211,0.9304656,0.00288199,0.001583214,0.05436919],"study_design_scores_gemma":[0.00372798,0.01185773,0.2366386,0.0001294406,0.0006289477,0.00864076,0.000654485,0.06599727,0.6146955,0.03578331,0.02077458,0.0004714308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273898,0.0004454889,0.0600323,0.0005378884,0.0004097255,0.000639053,0.002090203,0.0002669506,0.00818862],"genre_scores_gemma":[0.8313226,0.0005292909,0.1530068,0.001033554,0.0001846411,0.001205923,0.002008776,0.0002590111,0.01044948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005040014,"threshold_uncertainty_score":0.01686054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286850266241781,"score_gpt":0.3093029037224644,"score_spread":0.2664344010600466,"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."}}