{"id":"W4412870833","doi":"10.24908/pceea.2025.19714","title":"Vertical Integration of Mentorship-Based Experiential Learning Framework in Core 2nd Year Computer Engineering Courses","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Mentorship; Experiential learning; Core (optical fiber); Experiential education; Computer science; Mathematics education; Psychology; Medical education; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001474057,0.0001029986,0.0001669043,0.0004805987,0.0001535863,0.00006757741,0.000241442,0.0001914183,0.00002450239],"category_scores_gemma":[0.006619099,0.0001119874,0.0000579034,0.00107444,0.00003915029,0.0001451054,0.00001781238,0.0004092373,7.836296e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378794,"about_ca_system_score_gemma":0.0009324463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002721,"about_ca_topic_score_gemma":0.004348191,"domain_scores_codex":[0.9989455,0.00003704969,0.0002955531,0.0001445766,0.0003241822,0.0002531417],"domain_scores_gemma":[0.9989288,0.0002461808,0.0001690049,0.00005953973,0.0005234521,0.0000730235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001027003,0.0001118681,0.4521824,0.0001839316,0.00006579893,6.354063e-8,0.0236764,0.008356878,0.00825794,0.5030459,0.002690573,0.001417976],"study_design_scores_gemma":[0.0008971079,0.00008072158,0.8320763,0.003264402,0.000118971,3.106825e-7,0.01316984,0.07325163,0.03273223,0.00243396,0.04112691,0.0008475792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852262,0.00002566372,0.006568827,0.002691507,0.002453596,0.0003521247,0.000003484961,0.00006753311,0.002611121],"genre_scores_gemma":[0.9865941,0.000001404589,0.01276948,0.00008977867,0.0001514458,0.00002663546,0.000003870294,0.00001328118,0.000349983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5006119,"threshold_uncertainty_score":0.9965651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473522306147991,"score_gpt":0.3111051093777674,"score_spread":0.2963698863162875,"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."}}