{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156412,0.00007440045,0.00006998828,0.00009412439,0.0001614054,0.0001114135,0.0002800339,0.00003045082,0.00001536037],"category_scores_gemma":[0.00002667202,0.00006254502,0.00003809088,0.00008564253,0.00000468619,0.0003193215,0.00007168641,0.0001457261,0.0001644197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857329,"about_ca_system_score_gemma":0.00001046786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001135652,"about_ca_topic_score_gemma":0.000005187257,"domain_scores_codex":[0.9991407,0.00003554944,0.0001749876,0.0002012171,0.0002275426,0.0002199411],"domain_scores_gemma":[0.9996016,0.00006273178,0.00005372728,0.0001842676,0.00004088861,0.00005675614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.122859e-7,0.00001301499,0.0002064399,0.00000185123,0.000005762348,0.00001845911,0.000652953,0.00005903728,0.0004109377,0.6078557,0.0003337956,0.3904417],"study_design_scores_gemma":[0.0001900384,0.00009395277,0.004876051,0.0000471448,0.000003014146,0.00005126124,0.0006261442,0.07679438,0.0107004,0.0009827786,0.9052736,0.0003612675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001757334,0.00003179185,0.9543903,0.0001157924,0.0007553302,0.00005676435,8.436309e-8,0.0002092335,0.04268332],"genre_scores_gemma":[0.6055019,0.00000182587,0.3481272,0.000284606,0.0004252566,0.000002662267,0.000001357823,0.000008290467,0.04564688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9049398,"threshold_uncertainty_score":0.2550512,"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."}}