{"id":"W260275097","doi":"10.1007/978-3-662-44188-6_32","title":"Measuring learners’ working memory capacity from their interactions within educational game","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in educational technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Working memory; Computer science; Process (computing); Educational game; Psychology; Cognitive psychology; Human–computer interaction; Multimedia; Cognition; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001088779,0.0006285607,0.0006949277,0.001736496,0.0002426262,0.00004532987,0.0007173448,0.001378988,0.006581763],"category_scores_gemma":[0.002330714,0.0006321567,0.0001765647,0.0003607445,0.0005819339,0.00004570505,0.000120058,0.005612504,0.0005625123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006501557,"about_ca_system_score_gemma":0.0004574485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003222978,"about_ca_topic_score_gemma":0.0004714658,"domain_scores_codex":[0.9968935,0.0004590803,0.0007828588,0.001097169,0.0002878235,0.0004796201],"domain_scores_gemma":[0.9944912,0.003490911,0.0007711594,0.0009388335,0.0002395418,0.00006836303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007674464,0.0002556543,0.009014137,0.00003038724,0.0005879973,0.000004334288,0.01484269,0.001008966,0.001259328,0.8456778,0.001047375,0.1261946],"study_design_scores_gemma":[0.0003343704,0.00005489131,0.006502051,0.0005907891,0.00005757098,0.0001060064,0.0002082701,0.00004727218,0.000312282,0.9025369,0.08848938,0.0007602207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09448075,0.00372184,0.1097504,0.07687694,0.02387771,0.00108886,0.0001052348,0.0008772169,0.6892211],"genre_scores_gemma":[0.9086738,0.000007006682,0.02373066,0.0009263503,0.002857087,0.0001646119,0.0003519407,0.0001551437,0.0631334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8141931,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08846404688646789,"score_gpt":0.3419395864270689,"score_spread":0.253475539540601,"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."}}