{"id":"W2404850977","doi":"","title":"Linear models of student skills for static data.","year":2012,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Linear model; Bayesian probability; Machine learning; Item response theory; Linear regression; Artificial intelligence; Tracing; Test data; Data modeling; Bayesian statistics; Data mining; Bayesian inference; Statistics; Mathematics; Psychometrics","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":[0.0179367,0.001313651,0.001572836,0.002160405,0.0006374251,0.002186481,0.002827021,0.002299772,0.009800039],"category_scores_gemma":[0.04314408,0.0008656206,0.002971405,0.002500157,0.001586628,0.003472708,0.001491649,0.003739712,0.004696134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803051,"about_ca_system_score_gemma":0.00162418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02657306,"about_ca_topic_score_gemma":0.02261417,"domain_scores_codex":[0.9934008,0.004004987,0.0002450911,0.00140951,0.0005372778,0.0004022478],"domain_scores_gemma":[0.9575665,0.03420658,0.002614672,0.003078995,0.002074682,0.0004585725],"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":[0.0009406102,0.0004923198,0.05802779,0.000508283,0.001008124,0.0003830152,0.001133617,0.6872903,0.0008849869,0.0645579,0.01013383,0.1746393],"study_design_scores_gemma":[0.00002986343,0.0001861709,0.007097566,0.00008126545,0.00007466496,0.00007903801,0.0001197474,0.9637958,0.0001917984,0.02631716,0.001990699,0.00003624775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2309116,0.001768426,0.7512318,0.002807704,0.0002955635,0.0005257124,0.005527109,0.001916031,0.005016095],"genre_scores_gemma":[0.8795103,0.0008651603,0.09205031,0.0004135474,0.0002078215,0.0008029665,0.006863141,0.0002117968,0.01907494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02657306,"threshold_uncertainty_score":0.09485948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745762734859318,"score_gpt":0.2938360218505122,"score_spread":0.256378394501919,"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."}}