{"id":"W2502331832","doi":"10.4018/978-1-60566-170-4.ch017","title":"A Cognitive Computational Knowledge Representation Theory","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Representation (politics); Computer science; Cognition; Knowledge representation and reasoning; Cognitive science; Computational model; Field (mathematics); Artificial intelligence; Cognitive model; Psychology; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002746922,0.0003516485,0.0003455671,0.0000987594,0.0001691943,0.0001524494,0.0005509777,0.0002427009,0.00004853238],"category_scores_gemma":[0.00003915982,0.0003506189,0.0002213346,0.0000276914,0.0000832701,0.0001227189,0.0003074321,0.0003166621,0.001249697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692976,"about_ca_system_score_gemma":0.000230731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003796804,"about_ca_topic_score_gemma":0.00000732963,"domain_scores_codex":[0.9982299,0.00009689036,0.0003894475,0.0006653979,0.0003457811,0.0002725878],"domain_scores_gemma":[0.9985906,0.0001958593,0.000329888,0.0003377695,0.0004324384,0.0001133944],"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":[0.00001739348,0.00001058795,0.00001228521,0.00001805988,0.0001183273,0.0000487838,0.0008023313,0.00002253581,0.000001135714,0.972892,0.0002899957,0.02576653],"study_design_scores_gemma":[0.0002081114,0.00009265457,0.00009028497,0.0005355763,0.00003677814,0.00006481907,0.00002759015,0.0003015082,0.00003352019,0.9710879,0.02710139,0.000419904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001015524,0.0002568753,0.3627616,0.000005184171,0.0006105131,0.0002060715,0.00001639366,0.0001632147,0.63597],"genre_scores_gemma":[0.2354255,0.000001866913,0.002743379,0.000168679,0.0005164848,0.00002314509,0.000009502955,0.00004097586,0.7610704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3600183,"threshold_uncertainty_score":0.9998946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014513148023339,"score_gpt":0.2912376677186859,"score_spread":0.2410925362384525,"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."}}