{"id":"W2810434738","doi":"10.1016/b978-0-12-811529-9.00006-6","title":"The Control of Selective Attention and Emerging Mathematical Cognition","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Cognition; Control (management); Reciprocal; Cognitive psychology; Psychology; Context (archaeology); Cognitive science; Selection (genetic algorithm); Executive functions; Selective attention; Working memory; Computer science; Neuroscience; Artificial intelligence; Biology","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":[0.0002422984,0.0003983336,0.0001753803,0.0002602939,0.000150926,0.001734922,0.0006166514,0.0006236088,0.01778096],"category_scores_gemma":[0.0006870817,0.000128346,0.0001381446,0.000227959,0.001020796,0.001471284,0.0004047106,0.0007717399,0.002230207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004560535,"about_ca_system_score_gemma":0.0005273148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169086,"about_ca_topic_score_gemma":0.001193648,"domain_scores_codex":[0.9999305,0.00001183167,0.000003473069,0.0000203099,0.00002575833,0.000008109502],"domain_scores_gemma":[0.999805,0.0001238691,0.00001357499,0.00001592371,0.00002668414,0.00001495389],"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":[0.00005354007,0.00006310891,0.001242052,0.0003509404,0.00002431413,0.0002668651,0.001023175,0.001363589,0.01125395,0.4805806,0.02580963,0.4779682],"study_design_scores_gemma":[0.00002979281,0.00007025566,0.01296132,0.0002921907,0.00002476298,0.000632998,0.0005091683,0.003999831,0.003566049,0.7147648,0.2631187,0.00003010665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06104338,0.07764389,0.05612427,0.006007179,0.0008836997,0.00003178173,0.0002243999,0.0004540027,0.7975874],"genre_scores_gemma":[0.5280636,0.05776253,0.02981526,0.0008282026,0.001109138,0.0001482651,0.0003701988,0.0001362696,0.3817666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01778096,"threshold_uncertainty_score":0.05948323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747138817824483,"score_gpt":0.2691006735794684,"score_spread":0.2516292854012235,"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."}}