{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002257814,0.0001737012,0.0001766677,0.00008976763,0.0001605571,0.00005289328,0.0004869295,0.0001628129,0.001669822],"category_scores_gemma":[0.0005904938,0.000140302,0.00009293053,0.0001806188,0.0002450741,0.00008776566,0.0001292608,0.0006641908,0.001072791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008670428,"about_ca_system_score_gemma":0.00001630486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000164638,"about_ca_topic_score_gemma":0.00001251774,"domain_scores_codex":[0.9985723,0.0001014616,0.000190803,0.0005792664,0.0001487976,0.0004073351],"domain_scores_gemma":[0.9988239,0.0004146989,0.00009276458,0.000570797,0.0000130061,0.00008479031],"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":[0.0000137054,0.00004721605,0.0006343339,0.000003212567,0.000001771001,0.001895641,0.0009820512,1.738976e-7,0.9854025,0.0001898751,0.001388286,0.009441206],"study_design_scores_gemma":[0.0002389755,0.00004793524,0.0007475083,0.000006539102,0.000007151075,0.00124168,0.0002676186,0.00000586331,0.9733018,0.0003181373,0.02359448,0.0002223578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665107,0.0001118553,0.00001050747,0.001136508,0.00184222,0.0001354744,0.000007319109,0.0002721012,0.02997334],"genre_scores_gemma":[0.9891769,0.00003166187,0.0004231686,0.007770886,0.0005219755,0.000007526929,0.000001964452,0.00002234027,0.002043637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02792971,"threshold_uncertainty_score":0.999705,"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."}}