{"id":"W4413817177","doi":"10.3233/irg-2004-14(2)01","title":"Interacting with Inspectable Bayesian Student Models","year":2004,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Bayesian probability; Educational technology; Bayesian statistics; Mathematics education; Data science; Artificial intelligence; Bayesian inference; Psychology","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":[0.0005707982,0.0001327377,0.0001692577,0.0005594113,0.00005798009,0.0003704454,0.001069365,0.00004289074,0.0000146105],"category_scores_gemma":[0.0001285196,0.000113917,0.00006847367,0.0003298317,0.00002671516,0.001810129,0.00007555902,0.0003523159,0.00001940657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006248495,"about_ca_system_score_gemma":0.0006169124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003234331,"about_ca_topic_score_gemma":0.0001099734,"domain_scores_codex":[0.9981188,0.00005488855,0.0007710849,0.0002120396,0.000651909,0.0001912755],"domain_scores_gemma":[0.9981804,0.0001056171,0.0005454159,0.0001614293,0.0009322357,0.00007483508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004778305,0.0005973611,0.001042268,0.000004368005,0.00004316202,0.00007501463,0.009845703,0.2735418,0.000673799,0.5990804,0.000008791525,0.1150395],"study_design_scores_gemma":[0.0005765536,0.001768438,0.003591625,0.006283213,0.00003792168,0.002254296,0.05558153,0.1146091,0.0872319,0.7207898,0.005877993,0.001397677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1392452,0.0001117713,0.8541133,0.001259078,0.004251017,0.00009481669,2.439489e-7,0.00001813013,0.0009064171],"genre_scores_gemma":[0.9590798,0.00003562602,0.04008893,0.0001021429,0.000586257,0.000006210139,7.220312e-7,0.000009866196,0.00009047172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8198346,"threshold_uncertainty_score":0.4645399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939500301748332,"score_gpt":0.334109187139973,"score_spread":0.3047141841224897,"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."}}