{"id":"W2107568537","doi":"10.1109/itng.2007.28","title":"AETA: Algorithm Explanation Teaching Agent","year":2007,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Algorithm; Ideal (ethics); Visualization; Representation (politics); Algorithm design; Artificial intelligence","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":[0.0005196765,0.0005058956,0.0003808317,0.0004632094,0.0003930448,0.0009199265,0.001483619,0.001368604,0.01236001],"category_scores_gemma":[0.003166113,0.0002273579,0.0003750465,0.0002463052,0.0002118409,0.001201063,0.0009793941,0.001079381,0.003870226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883746,"about_ca_system_score_gemma":0.0008454484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007849943,"about_ca_topic_score_gemma":0.0009686581,"domain_scores_codex":[0.9996086,0.00008592953,0.00003180497,0.00007531277,0.0001564226,0.00004197732],"domain_scores_gemma":[0.9988635,0.0003723355,0.0001190383,0.0001215637,0.0003208401,0.0002028268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008992556,0.002166747,0.008558319,0.000733143,0.0001525457,0.0009362641,0.00112146,0.02890604,0.06193659,0.03357578,0.06511289,0.7959009],"study_design_scores_gemma":[0.0004852847,0.001037581,0.003226638,0.00009677994,0.0001628479,0.001313826,0.0002710869,0.6318051,0.05970402,0.01329924,0.2884856,0.000111994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06021068,0.000367151,0.8620447,0.001268152,0.0004793039,0.001237068,0.0006165189,0.04462579,0.02915069],"genre_scores_gemma":[0.2880765,0.0004716598,0.6539949,0.0006871984,0.0001788254,0.001061435,0.001351844,0.0005243671,0.05365322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01236001,"threshold_uncertainty_score":0.04134834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995819466085879,"score_gpt":0.2694997060588974,"score_spread":0.2495415113980387,"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."}}