{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225036,0.0002912142,0.0002468699,0.0003599967,0.0003674808,0.001200609,0.0004951967,0.0004627491,0.02208892],"category_scores_gemma":[0.003370475,0.00008416305,0.000180033,0.0003967434,0.0001371795,0.0009220097,0.001166102,0.0005023417,0.009928836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559434,"about_ca_system_score_gemma":0.0007370408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000518773,"about_ca_topic_score_gemma":0.001159839,"domain_scores_codex":[0.999786,0.00005177173,0.00001025836,0.00002620151,0.00009791456,0.00002784113],"domain_scores_gemma":[0.9991378,0.0002650269,0.0000406893,0.0001392593,0.0002198584,0.000197262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001495909,0.001865576,0.01273711,0.0001547057,0.000009764788,0.0002315332,0.001788188,0.001083086,0.01089267,0.009949741,0.0591481,0.9019899],"study_design_scores_gemma":[0.0002053945,0.003704667,0.05952072,0.0004387128,0.00005952208,0.001408275,0.002634336,0.02764979,0.02575596,0.04216243,0.8363963,0.00006391563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5212559,0.001692025,0.1588405,0.004178926,0.0003772923,0.001292313,0.0009220168,0.0106385,0.3008025],"genre_scores_gemma":[0.6582888,0.001659675,0.1184741,0.001124497,0.0001036718,0.001062204,0.002174487,0.0005391765,0.2165734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02208892,"threshold_uncertainty_score":0.0738948,"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."}}