{"id":"W4285013118","doi":"10.1080/20445911.2022.2097248","title":"Mind wandering and contextual binding","year":2022,"lang":"en","type":"article","venue":"Journal of Cognitive Psychology","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Task (project management); Set (abstract data type); Cognitive psychology; Context (archaeology); Control (management); Mind-wandering; Social psychology; Cognition; Artificial intelligence; Computer science; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003396814,0.00006258646,0.0001332446,0.000176827,0.0001949323,0.00001817942,0.00008234618,0.00002086381,0.0004380157],"category_scores_gemma":[0.0002938524,0.00005812577,0.00004749645,0.0001097961,0.0000844989,0.00008561957,0.00005084641,0.0003138811,0.000008214134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001289834,"about_ca_system_score_gemma":0.00001565007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.556101e-7,"about_ca_topic_score_gemma":2.366849e-7,"domain_scores_codex":[0.9991609,0.0001849777,0.0002179624,0.0001409545,0.0001605805,0.0001346266],"domain_scores_gemma":[0.9993844,0.0002649627,0.000226349,0.00003401409,0.00003647235,0.00005379708],"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":[0.000898412,0.0002615327,0.003559021,0.00000703759,0.00003437407,0.000603235,0.002099673,0.000006699578,0.8064149,0.0002259844,0.0006986468,0.1851905],"study_design_scores_gemma":[0.05427128,0.02901354,0.1655966,0.000831664,0.0006155664,0.1133251,0.04824445,0.0007463298,0.4504952,0.01211877,0.1222824,0.002459043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943798,0.0001206821,0.001460692,0.000501551,0.0006089695,0.00005968817,0.000008643811,0.000003547676,0.002856442],"genre_scores_gemma":[0.9988916,0.00004079064,0.0000361532,0.0007391053,0.00008160101,0.000003630355,4.049011e-7,0.000006700056,0.0002000398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3559197,"threshold_uncertainty_score":0.4795965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0775033081207999,"score_gpt":0.3588495045107355,"score_spread":0.2813461963899356,"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."}}