{"id":"W2300247546","doi":"","title":"An Adaptive Comprehension Assistant","year":2006,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Comprehension; Computer science; Artificial intelligence; Programming language","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":[0.0001435168,0.0001876374,0.0002134615,0.00058007,0.000194764,0.00009809537,0.0005086945,0.0001142039,0.00006866994],"category_scores_gemma":[0.00005670376,0.0001689068,0.00002475205,0.000563152,0.0001741924,0.0002230479,0.00008167636,0.0003549661,0.00007669623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005908692,"about_ca_system_score_gemma":0.0002230963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006810417,"about_ca_topic_score_gemma":0.0001478718,"domain_scores_codex":[0.9985833,0.00006394862,0.0002515816,0.000511545,0.0002841331,0.0003054742],"domain_scores_gemma":[0.9988348,0.0002801617,0.0001295371,0.0003872516,0.0002665895,0.0001016171],"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":[0.000004946874,0.0001206878,0.002759155,0.000003636226,0.000005846608,0.000006539779,0.0001527003,0.000008605954,0.00169794,0.9916727,0.0004698117,0.003097464],"study_design_scores_gemma":[0.0002015897,0.0002414115,0.02187424,0.0001164705,0.000005496726,0.00002478986,0.00006963352,0.003781802,0.002342865,0.9665183,0.00452121,0.0003022254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1018421,0.001648369,0.1441043,0.7141311,0.01159029,0.00102866,0.00002537819,0.001696929,0.02393293],"genre_scores_gemma":[0.9892516,0.00001397748,0.007812083,0.000111574,0.0004999401,0.0000562884,0.00001668024,0.000009561544,0.002228312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8874095,"threshold_uncertainty_score":0.6887817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178084178120133,"score_gpt":0.261501101648632,"score_spread":0.2297202598674307,"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."}}