{"id":"W2015663441","doi":"10.4018/jcini.2007070102","title":"AURELLIO","year":2007,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Representation (politics); Cognition; Knowledge representation and reasoning; Field (mathematics); Artificial intelligence; Cognitive model; Cognitive science; Computational model; Mechanism (biology); Human intelligence; Psychology; Epistemology","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":[0.001593226,0.001797832,0.001022201,0.00326363,0.001590251,0.004134798,0.001920509,0.003138419,0.2349645],"category_scores_gemma":[0.004869737,0.0003889554,0.0008914027,0.00116178,0.001156221,0.002733698,0.003187986,0.00274019,0.1871529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534861,"about_ca_system_score_gemma":0.001637566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002425471,"about_ca_topic_score_gemma":0.002137171,"domain_scores_codex":[0.9979402,0.0002755658,0.00008794536,0.0007512587,0.0007062549,0.0002386821],"domain_scores_gemma":[0.9979412,0.0006081653,0.0001663046,0.000342651,0.0005242783,0.0004173876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006713105,0.000220082,0.002275575,0.001000695,0.00006015663,0.002411994,0.0006225719,0.001357535,0.008919874,0.06686077,0.3271204,0.5884791],"study_design_scores_gemma":[0.00003506235,0.00004932753,0.0007411361,0.0002267342,0.00001405582,0.001523227,0.00008842121,0.0006673069,0.001838797,0.006179308,0.988612,0.00002468055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009594697,0.03216458,0.02975044,0.02334358,0.0236463,0.000257025,0.002965918,0.005750551,0.8725269],"genre_scores_gemma":[0.0946771,0.02104874,0.02565216,0.008080199,0.007251161,0.0004191926,0.002828761,0.00236829,0.8376745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2349645,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468219410358645,"score_gpt":0.2950738930123826,"score_spread":0.2803916989087961,"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."}}