{"id":"W1893849089","doi":"10.24908/pceea.v0i0.5838","title":"CAPSTONE PROJECTS WITH LIMITED BUDGET AS AN EFFECTIVE METHOD FOR EXPERIENTIAL LEARNING","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Experiential learning; Capstone; Capstone course; Perspective (graphical); Engineering management; Work (physics); Computer science; Knowledge management; Engineering; Artificial intelligence; Mathematics education; Psychology; Mechanical engineering","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":[0.01099474,0.001475228,0.0005012058,0.001917648,0.001789386,0.003364345,0.00309776,0.0009191139,0.0145905],"category_scores_gemma":[0.02546281,0.0006678059,0.0004544855,0.00154734,0.001837218,0.003349255,0.005457116,0.001606311,0.002965502],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456721,"about_ca_system_score_gemma":0.003301354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006179759,"about_ca_topic_score_gemma":0.001434709,"domain_scores_codex":[0.9782189,0.0136974,0.0008879308,0.001088051,0.005326063,0.0007817928],"domain_scores_gemma":[0.9810863,0.009951148,0.001719311,0.004117691,0.001393392,0.001732095],"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":[0.0007365488,0.004854063,0.004539875,0.001829219,0.00007243901,0.0004587398,0.007545687,0.005815317,0.02202835,0.04555248,0.01040136,0.8961658],"study_design_scores_gemma":[0.002390261,0.01721634,0.03313947,0.003536637,0.0002933551,0.00434451,0.01473599,0.02669928,0.06976743,0.06160685,0.7653646,0.0009053057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.14938,0.001055312,0.7656612,0.001633213,0.000390338,0.008838681,0.0001231912,0.001430436,0.07148766],"genre_scores_gemma":[0.3234455,0.000753936,0.6432962,0.0003705095,0.0001086777,0.01405849,0.0001782806,0.0002365507,0.01755186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9985433,"threshold_uncertainty_score":0.05814648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006615026924238595,"score_gpt":0.2304984520203019,"score_spread":0.2238834250960633,"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."}}