{"id":"W2149402013","doi":"10.24908/pceea.v0i0.4796","title":"COMPUTER-BASED LEARNING SOFTWARE FOR ENGINEERING STUDENTS","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Moncton","funders":"","keywords":"Cognitive apprenticeship; Apprenticeship; Computer science; Heuristics; Engineering education; Mathematics education; Engineering management; Engineering; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004550821,0.0001530985,0.0001617037,0.0002595788,0.000222604,0.0004354941,0.0007459077,0.0001054102,0.000006310864],"category_scores_gemma":[0.001056306,0.0001528351,0.00009804188,0.0004354645,0.000004317824,0.000387479,0.00005281997,0.0002315598,0.00001476135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331765,"about_ca_system_score_gemma":0.0003729832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058854,"about_ca_topic_score_gemma":0.000122558,"domain_scores_codex":[0.9987661,0.000006037376,0.0002706947,0.0002304895,0.0003659015,0.0003607404],"domain_scores_gemma":[0.9982666,0.0001102535,0.0003091419,0.0001052616,0.00104437,0.0001643764],"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":[0.000002100061,0.000181591,0.5651439,0.001195692,0.0003121369,1.716049e-7,0.003521044,0.2427365,0.005033778,0.1358853,0.03127407,0.01471361],"study_design_scores_gemma":[0.0004730369,0.0001062613,0.2652663,0.000811433,0.00003547301,0.000003405005,0.0001307646,0.4421605,0.004339161,0.0001571408,0.2857419,0.0007746552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4152623,0.0001519673,0.5644909,0.005709236,0.01009797,0.002877259,0.00001127082,0.0009566333,0.0004425215],"genre_scores_gemma":[0.9350999,8.277262e-7,0.05985462,0.000187265,0.0003610491,0.0002044267,0.000004197871,0.00003671625,0.00425102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5198376,"threshold_uncertainty_score":0.6232433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006564709405489902,"score_gpt":0.2062426913590304,"score_spread":0.1996779819535405,"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."}}