{"id":"W2294582357","doi":"10.1109/mis.2013.116","title":"Simulated Learners","year":2013,"lang":"en","type":"article","venue":"IEEE Intelligent Systems","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Human–computer interaction; Data science; Multimedia; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004562526,0.0002878412,0.0003403926,0.0002129419,0.0001845792,0.0007415062,0.001068993,0.0001369988,0.00009080616],"category_scores_gemma":[0.00005481643,0.0002447996,0.0001517092,0.0003982975,0.00003379894,0.000667321,0.00009744467,0.0003022063,0.009112253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481366,"about_ca_system_score_gemma":0.00004709619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611811,"about_ca_topic_score_gemma":0.000002198603,"domain_scores_codex":[0.9974737,0.0002033629,0.0006400949,0.0005737459,0.000509429,0.0005997114],"domain_scores_gemma":[0.9983346,0.0001679023,0.000224887,0.000763763,0.0002934904,0.0002153148],"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":[0.000008888811,0.0002250102,0.005631615,0.0002514418,0.0003519399,0.0001150201,0.006257098,0.4343998,0.02003594,0.4881698,0.01923142,0.02532201],"study_design_scores_gemma":[0.0002273441,0.0002237824,0.0002539598,0.0003943459,0.00001036038,0.0001047338,0.001353745,0.5502831,0.01584995,0.0005197024,0.429823,0.0009559461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06824359,0.0005707942,0.9134135,0.0002042484,0.007566171,0.0008818865,7.882971e-7,0.0007940541,0.008324964],"genre_scores_gemma":[0.9519128,0.00001535868,0.0005269788,0.0001015499,0.0004119164,0.00004731359,0.00000136183,0.00002968263,0.04695303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128865,"threshold_uncertainty_score":0.9982636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604565602380268,"score_gpt":0.245138906592641,"score_spread":0.2190932505688383,"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."}}