{"id":"W2254386399","doi":"","title":"Connecting Intelligent Tutoring Systems with Dynamic Learning Systems: Is There a Natural Fit?","year":2010,"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":"University of Windsor","funders":"","keywords":"Computer science; Natural (archaeology); Artificial intelligence; Human–computer interaction; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.0003749186,0.0003241342,0.0003766558,0.0007075049,0.0003985831,0.0003887674,0.0007244567,0.0001881083,0.00004783934],"category_scores_gemma":[0.000394627,0.000263659,0.00003646482,0.000722999,0.0001471393,0.0002643795,0.0001624299,0.001653505,0.00007627856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009461289,"about_ca_system_score_gemma":0.0003138217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109099,"about_ca_topic_score_gemma":0.0001648525,"domain_scores_codex":[0.9978822,0.0000816562,0.0003913916,0.0007132778,0.0004237,0.0005077207],"domain_scores_gemma":[0.9979218,0.0007080557,0.0003081831,0.0004608998,0.0004471717,0.0001538693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005995628,0.00004820141,0.006395994,0.00006244564,0.0000487417,0.00001531347,0.001963984,0.0001227035,0.0009653755,0.9866639,0.00004032781,0.003667015],"study_design_scores_gemma":[0.003292386,0.002380673,0.01896162,0.0117116,0.0002041711,0.003524822,0.02035549,0.5614448,0.009891035,0.2278518,0.1332377,0.00714395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6747854,0.008772065,0.04863357,0.2067399,0.05078337,0.00212907,0.00001526166,0.002304591,0.00583686],"genre_scores_gemma":[0.9922439,0.00006079693,0.001309598,0.00003528198,0.0005302494,0.0001472157,0.000007302403,0.00002608531,0.005639515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7588121,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098315136092787,"score_gpt":0.259447043863646,"score_spread":0.2384638925027182,"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."}}