{"id":"W2219949163","doi":"","title":"Using Knowledge Models in Intelligent Tutoring Systems","year":2000,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Champlain Regional College","funders":"","keywords":"Computer science; Knowledge-based systems; Artificial intelligence","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":[0.001984794,0.0005264236,0.0005375845,0.0009924751,0.0004282509,0.003374856,0.001009501,0.001286571,0.003351804],"category_scores_gemma":[0.01486691,0.0004097299,0.0006176809,0.0008938275,0.0009515584,0.007581226,0.001446074,0.00113426,0.0008228269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086209,"about_ca_system_score_gemma":0.0008206829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003395097,"about_ca_topic_score_gemma":0.004033608,"domain_scores_codex":[0.9984767,0.0008392702,0.00009628572,0.0001619881,0.0003535686,0.00007223223],"domain_scores_gemma":[0.9924999,0.00588252,0.0002172796,0.0005977767,0.0006796707,0.0001229196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005730969,0.0005750522,0.004082394,0.0004293587,0.0002112043,0.0003783204,0.001112507,0.4208868,0.003511576,0.1724143,0.00468412,0.3911413],"study_design_scores_gemma":[0.00004121643,0.00007146959,0.0003193702,0.00006510104,0.00006641735,0.00006555304,0.0001361405,0.8387266,0.003741856,0.1510082,0.005730335,0.00002781215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07204425,0.001250159,0.9001098,0.002074252,0.0001950492,0.0001508158,0.0003633664,0.001566517,0.02224577],"genre_scores_gemma":[0.8850812,0.0006579011,0.1092534,0.0002150102,0.00004866862,0.000137081,0.0003620782,0.0001194877,0.004125276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003395097,"threshold_uncertainty_score":0.01121289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09431598904646506,"score_gpt":0.3045110172703708,"score_spread":0.2101950282239058,"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."}}