{"id":"W2040896074","doi":"10.1037/0278-7393.31.3.508","title":"Linguistic Attention Control: Attention Shifting Governed by Grammaticized Elements of Language.","year":2005,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Set (abstract data type); Linguistics; Task (project management); Sentence; Perspective (graphical); Operationalization; Function (biology); Cognition; Control (management); Psychology; Psycholinguistics; Attentional control; Dimension (graph theory); Cognitive psychology; Sentence processing; Computer science; Artificial intelligence","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":[0.001387444,0.0003557193,0.0002251944,0.0002273349,0.0002145119,0.0006231082,0.0004155976,0.0005205034,0.001257774],"category_scores_gemma":[0.004585289,0.0001944874,0.0002008994,0.0001061767,0.0008783086,0.0006696841,0.0004922738,0.0005915586,0.0001214484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357637,"about_ca_system_score_gemma":0.000259421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038949,"about_ca_topic_score_gemma":0.0009405194,"domain_scores_codex":[0.9995158,0.0001309244,0.0000258793,0.0001633343,0.0001154099,0.00004864193],"domain_scores_gemma":[0.9979628,0.001130423,0.0004099556,0.0002283442,0.0001018607,0.0001666689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004090088,0.000993602,0.0151927,0.0003220341,0.0001328535,0.0003414745,0.001730443,0.0007133224,0.860551,0.007318879,0.0008871917,0.1077264],"study_design_scores_gemma":[0.00179249,0.008737602,0.478588,0.00009550081,0.0004635607,0.001940789,0.001007036,0.01771031,0.4295733,0.05001363,0.009909773,0.0001679402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822072,0.0008052537,0.01171942,0.0004145631,0.00009932638,0.00009394244,0.00004666847,0.00005271362,0.004561092],"genre_scores_gemma":[0.9950185,0.0001997546,0.003449361,0.0002360311,0.00002670007,0.00009659807,0.00003255914,0.00001215928,0.0009282276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001387444,"threshold_uncertainty_score":0.00733763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909652546721243,"score_gpt":0.3344284609722716,"score_spread":0.3153319355050592,"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."}}