{"id":"W2484863891","doi":"","title":"Inspecting and Visualizing Distributed Bayesian Student Models","year":2000,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Bayesian network; Visualization; Bayesian probability; Artificial intelligence; Bayesian inference; Process (computing); Graphical model; Machine learning; Variable-order Bayesian network; Data science","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":[0.002887767,0.0005995107,0.0006657166,0.001481724,0.0005451337,0.00223997,0.001201469,0.001440249,0.004852483],"category_scores_gemma":[0.01421003,0.0006895333,0.0007895086,0.001187495,0.0008174423,0.002446578,0.001785985,0.001600259,0.0005706137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169424,"about_ca_system_score_gemma":0.001419821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543277,"about_ca_topic_score_gemma":0.0198756,"domain_scores_codex":[0.9993375,0.0003103738,0.00002705269,0.0001083449,0.0001626594,0.00005407564],"domain_scores_gemma":[0.9907818,0.007713258,0.0004042917,0.0004984722,0.0004011808,0.0002008652],"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":[0.000293046,0.0001088406,0.01102855,0.0001667415,0.0000868325,0.0002719271,0.002489568,0.7665845,0.003944069,0.08045097,0.006008935,0.128566],"study_design_scores_gemma":[0.000009492299,0.000008961555,0.0004095921,0.000009855398,0.000006364902,0.00003194288,0.0001303618,0.9754363,0.0005541476,0.02221896,0.001176319,0.000007616708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08326916,0.0002521998,0.9096449,0.0005834936,0.00002652089,0.0000370139,0.0003942526,0.002891019,0.002901311],"genre_scores_gemma":[0.7497873,0.000356999,0.2451751,0.0001003098,0.0000381602,0.00007659299,0.0007761496,0.0005619217,0.00312738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01543277,"threshold_uncertainty_score":0.0306859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543412831580863,"score_gpt":0.2756211956658934,"score_spread":0.2401870673500848,"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."}}