{"id":"W2587453151","doi":"10.18260/p.25090","title":"Work in Progress: Intelligent Tutoring Systems in Computer Science and Software Engineering Education","year":2015,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Moderation; Construct (python library); Categorization; Software; Software engineering; Subject (documents); Inclusion (mineral); Mathematics education; Artificial intelligence; Machine learning; World Wide Web; 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":[0.001442919,0.0001267195,0.0001556526,0.0004678572,0.00004402964,0.0004053792,0.0004366394,0.00003915047,3.633801e-7],"category_scores_gemma":[0.0001725523,0.0001166102,0.00001177092,0.001128406,0.0000390136,0.0006825771,0.000268418,0.0001664319,0.00001217425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004240239,"about_ca_system_score_gemma":0.0003382388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002999578,"about_ca_topic_score_gemma":0.000005603193,"domain_scores_codex":[0.9985351,0.00003618874,0.0002885858,0.0004090148,0.0003967725,0.0003343213],"domain_scores_gemma":[0.9992926,0.00005053876,0.00005676348,0.0002467598,0.0002158514,0.000137504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000897411,0.0001879629,0.3883993,0.0002198848,0.000007688478,0.00003753622,0.01295494,0.1043276,0.0000814716,0.2166013,0.000127357,0.277046],"study_design_scores_gemma":[0.0005176677,0.0002257681,0.09050214,0.003959178,0.000002768887,0.00009785447,0.001242151,0.8532028,0.001049303,0.0001716435,0.04796927,0.001059493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2084045,0.001962265,0.7860734,0.00008461677,0.002813347,0.000369439,5.833695e-8,0.0001806837,0.0001117845],"genre_scores_gemma":[0.9315061,0.000004943374,0.06795906,0.00002148676,0.0001697315,0.0000413956,2.043835e-7,0.000008492667,0.0002885828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7488751,"threshold_uncertainty_score":0.4755224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436435349850959,"score_gpt":0.2516393550395665,"score_spread":0.2272750015410569,"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."}}