{"id":"W4405455819","doi":"10.1177/21582440241305082","title":"Working Memory Load, Automaticity, and Problem Solving in College Engineering Students: Two Applications","year":2024,"lang":"en","type":"article","venue":"SAGE Open","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Automaticity; Psychology; Mathematics education; Cognitive psychology; Computer science; Cognition","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":[0.001499565,0.0006634561,0.0004276347,0.001067174,0.000394482,0.0009175386,0.0004969313,0.0005899483,0.00207921],"category_scores_gemma":[0.008732158,0.0003329609,0.0003961592,0.001035338,0.0005839146,0.0007625387,0.0009187104,0.001082587,0.0002297723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303043,"about_ca_system_score_gemma":0.0003717425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004233,"about_ca_topic_score_gemma":0.001078169,"domain_scores_codex":[0.999288,0.0003098353,0.00005689282,0.000111521,0.0001669173,0.00006683434],"domain_scores_gemma":[0.9894744,0.007905563,0.0007864974,0.000603875,0.0004217843,0.0008078946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003932302,0.009832583,0.8056335,0.0002135328,0.0001983479,0.000396391,0.006916566,0.001374374,0.01486498,0.0005317333,0.0003289249,0.1557766],"study_design_scores_gemma":[0.0002101638,0.005203605,0.9816929,0.00002251797,0.00008311091,0.0003214472,0.001246277,0.003546092,0.005522959,0.001342413,0.0007549927,0.00005359952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999553,0.000043792,0.0001906482,0.00001583901,0.000002267387,0.0000159815,0.00001057311,0.000003288556,0.0001644957],"genre_scores_gemma":[0.9986292,0.00007627107,0.0008935967,0.00002203461,0.0000104171,0.00005086625,0.00004086754,0.000003219451,0.0002735026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00207921,"threshold_uncertainty_score":0.007930517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209777503674397,"score_gpt":0.346974456508616,"score_spread":0.3259967061411763,"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."}}