{"id":"W143886367","doi":"10.1007/978-3-642-14363-2_19","title":"Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; TUTOR; Interface (matter); Domain (mathematical analysis); Artificial intelligence; Task (project management); Representation (politics); Human–computer interaction; Machine learning; Software engineering; Programming language; Systems engineering","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":[0.003039812,0.0002786795,0.0005763599,0.002155481,0.0007346944,0.003984608,0.001319124,0.001175246,0.01123897],"category_scores_gemma":[0.03842902,0.0002171701,0.0003187712,0.002880318,0.001148919,0.003577617,0.001886263,0.0008254966,0.00356942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261069,"about_ca_system_score_gemma":0.00257943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758002,"about_ca_topic_score_gemma":0.002773491,"domain_scores_codex":[0.994606,0.002075007,0.0003752479,0.0003245655,0.002416148,0.0002030563],"domain_scores_gemma":[0.9551633,0.03092623,0.002049534,0.003359286,0.005244785,0.003256816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002241369,0.0008797885,0.02461452,0.001169312,0.00005973316,0.0002811936,0.009943672,0.004217481,0.00637651,0.03874917,0.01862041,0.8928468],"study_design_scores_gemma":[0.00156423,0.007914968,0.1156761,0.001638072,0.0005382785,0.008215971,0.01925035,0.1485343,0.03550845,0.08301271,0.5777876,0.0003588131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6889665,0.006856939,0.065067,0.00174991,0.0006411069,0.0004953766,0.001248175,0.008271331,0.2267036],"genre_scores_gemma":[0.923645,0.002470933,0.045912,0.0003932878,0.0001445993,0.0002582429,0.001605918,0.0009835459,0.02458644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01123897,"threshold_uncertainty_score":0.03759807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162521967608161,"score_gpt":0.3635897583787802,"score_spread":0.2473375616179642,"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."}}