{"id":"W2000967867","doi":"10.1016/j.concog.2011.08.006","title":"Lexical processing while deciding what task to perform: Reading aloud in the context of the task set paradigm","year":2011,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Reading and Literacy Development","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Task (project management); Set (abstract data type); Cognitive psychology; Reading (process); Context (archaeology); Lexical access; Bottleneck; Reading aloud; Resource (disambiguation); Process (computing); Cognition; Think aloud protocol; Linguistics; Computer science; Human–computer interaction","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":[0.002824634,0.0007651661,0.0006171033,0.0003816359,0.0005515061,0.002801157,0.0008160162,0.001439569,0.002914482],"category_scores_gemma":[0.03479287,0.000593601,0.0002310916,0.0003264003,0.0009348454,0.002993664,0.0008147582,0.00198612,0.0006180466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940813,"about_ca_system_score_gemma":0.0008332736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183392,"about_ca_topic_score_gemma":0.001530724,"domain_scores_codex":[0.9979108,0.0009951645,0.0001178343,0.0004688673,0.0003837056,0.0001235959],"domain_scores_gemma":[0.9873685,0.009999059,0.001183796,0.0006818633,0.0004518414,0.0003148903],"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":[0.007383784,0.00172547,0.01882556,0.0005614317,0.000154184,0.0009599387,0.01551596,0.00353025,0.7757052,0.02237864,0.002030778,0.1512289],"study_design_scores_gemma":[0.002148108,0.005152215,0.1999258,0.0003512485,0.000672865,0.003359442,0.01518661,0.1568955,0.358687,0.2457653,0.01108765,0.0007682688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514533,0.0001620728,0.04059056,0.0005320532,0.0001564337,0.0001275952,0.00009618555,0.0001631125,0.006718725],"genre_scores_gemma":[0.9703717,0.00009320284,0.02726295,0.0002823925,0.00005878992,0.0001279601,0.0001068042,0.0001514561,0.001544889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002914482,"threshold_uncertainty_score":0.01493829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704935200628044,"score_gpt":0.2904930573693327,"score_spread":0.2434437053630522,"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."}}