{"id":"W2060880543","doi":"10.2298/psi1001085k","title":"Is syntactic working memory language specific?","year":2010,"lang":"en","type":"article","venue":"Psihologija","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Modularity (biology); Sentence processing; Syntax; Cognition; Sentence; Mechanism (biology); Computer science; Cognitive science; Working memory; Interpretation (philosophy); Psychology; Cognitive psychology; Natural language processing; Neuroscience; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319894,0.0002367477,0.0005853293,0.0006204013,0.0002532286,0.001626599,0.001123757,0.0009937836,0.005448195],"category_scores_gemma":[0.005614896,0.0002974019,0.0004408737,0.0004947537,0.002781514,0.004506707,0.0009339,0.0008923796,0.0007726936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005256216,"about_ca_system_score_gemma":0.0006158231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007780126,"about_ca_topic_score_gemma":0.0007221696,"domain_scores_codex":[0.9994156,0.00009185358,0.00003744078,0.0002853215,0.00009196148,0.00007780079],"domain_scores_gemma":[0.9971172,0.001169128,0.0006254809,0.0006690188,0.0002640285,0.0001552638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008624394,0.0004618274,0.1134594,0.002457506,0.0007992418,0.003635679,0.01042774,0.001489914,0.07790902,0.1642782,0.007481718,0.6167372],"study_design_scores_gemma":[0.0001445954,0.0005328777,0.2705197,0.0004130566,0.0003198168,0.008313992,0.004302224,0.003279926,0.01848044,0.6697335,0.02378255,0.000177344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972095,0.007270113,0.03261995,0.0148041,0.0003687836,0.00005870243,0.0008866813,0.0003711389,0.04641105],"genre_scores_gemma":[0.989589,0.001863289,0.003399515,0.001330276,0.0002547693,0.00005560988,0.0002868163,0.00004056248,0.003180017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005448195,"threshold_uncertainty_score":0.01822603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112768393275877,"score_gpt":0.3083442756900843,"score_spread":0.2572165917573256,"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."}}