{"id":"W1506893951","doi":"10.1007/978-3-642-13437-1_57","title":"ITS in Ill-Defined Domains: Toward Hybrid Approaches","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Computer science; Tracing; Domain (mathematical analysis); Artificial intelligence; Face (sociological concept); Hybrid system; Human–computer interaction; Software engineering; Machine learning; Data science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001530848,0.0006697495,0.0007259735,0.001118606,0.0002521765,0.0006866223,0.003731564,0.0003931137,0.00001759402],"category_scores_gemma":[0.0003145867,0.0006018041,0.0001763752,0.0005548046,0.0003825995,0.0006777906,0.001359231,0.002064663,0.0001157231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473109,"about_ca_system_score_gemma":0.0004696767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005122004,"about_ca_topic_score_gemma":0.0000552287,"domain_scores_codex":[0.9952376,0.00006303924,0.0007350498,0.001929835,0.001092773,0.0009416731],"domain_scores_gemma":[0.9974272,0.0005268938,0.0003667514,0.001242689,0.0002544991,0.0001820147],"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":[0.000009278768,0.00007868884,0.0002837678,0.0001638416,0.00002362447,0.0004921195,0.00397017,0.04432202,0.001251206,0.4490385,0.000008665187,0.5003582],"study_design_scores_gemma":[0.001072066,0.0005267226,0.0008680852,0.002358094,0.00001546194,0.0005398146,0.000002821604,0.7387816,0.0231231,0.1653085,0.06373371,0.003670044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005114957,0.0005329896,0.9889031,0.0007467903,0.003512512,0.0004971298,0.000003705336,0.0001851069,0.005107172],"genre_scores_gemma":[0.61007,0.00005285448,0.3824326,0.001116698,0.001692157,0.00003616126,0.000008597825,0.00009281439,0.004498173],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6944595,"threshold_uncertainty_score":0.9996433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04362667273237257,"score_gpt":0.2386896089296189,"score_spread":0.1950629361972463,"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."}}