{"id":"W4402942499","doi":"10.56238/sevened2024.027-006","title":"MATHEMATICS EDUCATION AND COGNITIVE NEUROSCIENCE: INTERFACES REVEALED BY RESEARCHERS FROM THE CANADIAN LABORATORY ENGRAMMETRON (EDUCATIONAL NEUROSCIENCE AND MIXED RESEARCH LABORATORY)","year":2024,"lang":"en","type":"book-chapter","venue":"Seven Editora eBooks","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive neuroscience; Educational neuroscience; Psychology; Cognition; Cognitive science; Neuroscience; Political science; Education theory; Higher education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.001776241,0.0005056244,0.0003157913,0.0007370929,0.001893742,0.001658748,0.0008344196,0.0003448881,0.0000963478],"category_scores_gemma":[0.00513755,0.0004320613,0.00005372919,0.0005593933,0.003921728,0.0003849845,0.0003429505,0.002103974,0.0001761909],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842687,"about_ca_system_score_gemma":0.006548388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319926,"about_ca_topic_score_gemma":0.003611435,"domain_scores_codex":[0.9946071,0.0005176835,0.000479498,0.001813771,0.001791432,0.000790545],"domain_scores_gemma":[0.9950969,0.002355024,0.000257119,0.0005336634,0.0009750899,0.0007822196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009730809,0.0004224298,0.0004578593,0.0003685753,0.00002950659,0.00005407731,0.01051531,7.251535e-7,0.2238149,0.07362127,0.6690235,0.02159452],"study_design_scores_gemma":[0.0002598075,0.0002975885,0.001267438,0.0007045416,0.00009185859,0.0000232098,0.002299036,0.0001078128,0.01281547,0.03023009,0.9511188,0.0007843745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2967634,0.007226786,0.00004779156,0.04081321,0.1262587,0.009898201,0.01430725,0.000604468,0.5040802],"genre_scores_gemma":[0.6065776,0.0002910054,0.0000303813,0.00460101,0.004137581,0.0002937989,0.00005235885,0.0001473375,0.383869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3098142,"threshold_uncertainty_score":0.9998131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921809674433066,"score_gpt":0.3438724772538936,"score_spread":0.274654380509563,"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."}}