{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001556206,0.0002376852,0.0003636394,0.0002330612,0.0001513314,0.0001009894,0.001761398,0.0001206748,0.000004251306],"category_scores_gemma":[0.0001254362,0.0002213587,0.0001171883,0.0002927375,0.0000333489,0.001330933,0.0007022563,0.0002111855,0.00001014132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619782,"about_ca_system_score_gemma":0.0001231551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107024,"about_ca_topic_score_gemma":0.00005005645,"domain_scores_codex":[0.9977684,0.0001145911,0.000550076,0.0004115473,0.0004234852,0.0007319235],"domain_scores_gemma":[0.9974858,0.0002542874,0.0003218847,0.001529085,0.0001823365,0.0002266249],"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":[0.00002022928,0.0007782184,0.02019324,0.0001407324,0.0001270642,0.000005936312,0.003156389,0.02560188,0.002711116,0.9197255,0.00166334,0.02587639],"study_design_scores_gemma":[0.0004579456,0.0002398363,0.007741387,0.0001591231,0.00003634992,0.00003219588,0.0002388988,0.9539084,0.01380314,0.003480701,0.0193869,0.0005151049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02429796,0.0008416215,0.9728671,0.0004009979,0.0003414401,0.0007429162,0.00004912818,0.0002923815,0.0001664603],"genre_scores_gemma":[0.6282134,0.0000356657,0.3696958,0.0002926791,0.0002051521,0.0001517137,0.00001742997,0.00003012162,0.001358061],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9283065,"threshold_uncertainty_score":0.9026747,"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."}}