{"id":"W1974832508","doi":"10.3389/fpsyg.2015.00035","title":"Ego depletion interferes with rule-defined category learning but not non-rule-defined category learning","year":2015,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Cognitive flexibility; Cognition; Cognitive psychology; Task (project management); Set (abstract data type); Id, ego and super-ego; Flexibility (engineering); Categorization; Ego depletion; Cognitive resource theory; Concept learning; Task switching; Resource (disambiguation); Self-control; Social psychology; Developmental psychology; Artificial intelligence; Computer science","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":[0.0007141556,0.0002893556,0.0004474101,0.0002979496,0.0002414998,0.0004141246,0.0004073694,0.0002681687,0.002343961],"category_scores_gemma":[0.002837727,0.0002590668,0.0001788845,0.0001179811,0.0009453187,0.0002986066,0.000941883,0.000674896,0.000234453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707446,"about_ca_system_score_gemma":0.0004533092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007578419,"about_ca_topic_score_gemma":0.0013923,"domain_scores_codex":[0.9992548,0.0001853538,0.00008576406,0.0001715403,0.0002002028,0.0001023325],"domain_scores_gemma":[0.9973856,0.0006844781,0.0007094229,0.0006692575,0.0001509562,0.0004002239],"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":[0.00380504,0.002665151,0.02951667,0.000357516,0.0001150904,0.0005646956,0.001451322,0.0002755783,0.9255022,0.001209263,0.000485224,0.03405224],"study_design_scores_gemma":[0.0004147009,0.007336396,0.4516738,0.00008017148,0.0001574182,0.001972845,0.001145615,0.00484392,0.5215605,0.004371183,0.006381663,0.00006171973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987129,0.00003972362,0.0003955281,0.00004328604,0.000005073526,0.00001444459,0.00003605925,0.00002468898,0.0007282758],"genre_scores_gemma":[0.9975871,0.00006231574,0.001230218,0.00004217319,0.000002236517,0.00005648166,0.00009218915,0.00001933305,0.0009079295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002343961,"threshold_uncertainty_score":0.007841289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383423509140043,"score_gpt":0.2835226380990421,"score_spread":0.2596884030076417,"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."}}