{"id":"W1550484269","doi":"","title":"Modeling a domain in a tutorial-like system using learning automata","year":2010,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Benchmark (surveying); Domain (mathematical analysis); Process (computing); Representation (politics); Range (aeronautics); Action (physics); Artificial intelligence; Scaling; Theoretical computer science; Programming language; Mathematics","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":[0.0008325599,0.00008348843,0.000115614,0.0001683445,0.0001230892,0.0002697901,0.0004436993,0.00006801406,0.0000141445],"category_scores_gemma":[0.00003547117,0.00007572098,0.00002706482,0.0004055073,0.00001172845,0.0004884011,0.0002205364,0.0003108833,0.00002788587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004912717,"about_ca_system_score_gemma":0.0001074348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003014445,"about_ca_topic_score_gemma":0.00007697933,"domain_scores_codex":[0.9989158,0.00009348556,0.0002227819,0.0002668399,0.000237819,0.0002632962],"domain_scores_gemma":[0.9994918,0.00002995122,0.00003081732,0.0003031417,0.00006198965,0.00008235389],"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":[0.000002076569,0.00002234688,0.0002177946,0.0000222361,0.000002864503,0.00001297113,0.001024263,0.8342553,0.004534914,0.1588855,0.00001166716,0.001007975],"study_design_scores_gemma":[0.0003291371,0.00001067788,0.000006203437,0.00002585949,5.091539e-7,0.00001703866,0.0001363223,0.9987007,0.00002788011,0.0002964936,0.0003499378,0.00009918526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07724698,0.000003710798,0.9177536,0.0001033448,0.0007334765,0.0001320481,1.04355e-7,0.0004049315,0.003621822],"genre_scores_gemma":[0.6680062,7.39386e-7,0.3317668,0.0000303241,0.00005314102,0.00000485332,5.040505e-7,0.000006123269,0.0001312589],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5907593,"threshold_uncertainty_score":0.3087812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102450492435127,"score_gpt":0.2650105741239177,"score_spread":0.2439860691995664,"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."}}