{"id":"W5590877","doi":"","title":"On the Faithfulness of Simulated Student Performance Data.","year":2010,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Replicate; Computer science; Data set; Bayesian probability; Set (abstract data type); Data modeling; Standard deviation; Experimental data; Artificial intelligence; Machine learning; Data mining; Statistics; Mathematics","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":[0.05224186,0.0008860522,0.0008312648,0.001898754,0.0006385627,0.002003133,0.002544044,0.002979696,0.0012932],"category_scores_gemma":[0.2190074,0.0006772887,0.001366446,0.00134845,0.00282226,0.002717944,0.001784099,0.002557429,0.0004827305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002238589,"about_ca_system_score_gemma":0.001021899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008230931,"about_ca_topic_score_gemma":0.00486505,"domain_scores_codex":[0.9831251,0.01293249,0.0006962238,0.001576573,0.001381183,0.0002883844],"domain_scores_gemma":[0.6718745,0.2653849,0.01425575,0.03661074,0.01005743,0.001816764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009691768,0.0003742558,0.06292617,0.0001976682,0.0003683609,0.0001732598,0.0008652908,0.9004869,0.001143478,0.01406872,0.001765986,0.01666065],"study_design_scores_gemma":[0.00005810828,0.0002236413,0.01067639,0.00007034737,0.00002302855,0.0001128929,0.0001172484,0.9796993,0.001602623,0.00692161,0.0004574887,0.00003749356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915287,0.0002827339,0.1027437,0.0006809002,0.00008842853,0.000378079,0.001872358,0.0006982146,0.00172687],"genre_scores_gemma":[0.9840279,0.00005019177,0.01360843,0.00009299224,0.00001151611,0.0001200376,0.001753958,0.00004739679,0.000287525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05224186,"threshold_uncertainty_score":0.2762847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09294334681844635,"score_gpt":0.3429350373180371,"score_spread":0.2499916904995907,"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."}}