{"id":"W2107488114","doi":"10.24908/pceea.v0i0.5951","title":"IMPROVING STUDENT INTEREST IN ENGINEERING THROUGH QUALITY ENHANCEMENT PROJECTS: MECHANICAL TESTING OF BIOMATERIALS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Engineering; Construction engineering; Engineering management; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005555265,0.0003718522,0.0003377973,0.0004668905,0.0007485392,0.001172641,0.001078458,0.001558291,0.01124915],"category_scores_gemma":[0.006154913,0.0002128815,0.0005944814,0.0004655212,0.0004779931,0.0006531834,0.0007220167,0.0006694273,0.002168955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282412,"about_ca_system_score_gemma":0.00121047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275398,"about_ca_topic_score_gemma":0.002304583,"domain_scores_codex":[0.9971715,0.0007227474,0.0002225093,0.000207103,0.001385902,0.0002902655],"domain_scores_gemma":[0.9928747,0.001365632,0.0007878362,0.0009432717,0.003131497,0.0008971119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003916987,0.006546179,0.02349541,0.001201948,0.0001369123,0.0003755453,0.0008924539,0.0009960663,0.5180467,0.001193463,0.01029747,0.4329009],"study_design_scores_gemma":[0.0004628748,0.02962649,0.08491079,0.0003762435,0.0002101802,0.0009389015,0.001084526,0.002659913,0.8211468,0.001260459,0.05723483,0.000088008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96859,0.001592384,0.01003103,0.003143407,0.000591861,0.0005782911,0.0006966714,0.0001604998,0.01461592],"genre_scores_gemma":[0.954734,0.001300235,0.0151765,0.0006855814,0.00009253254,0.0005162478,0.0006011854,0.00007874215,0.02681495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124915,"threshold_uncertainty_score":0.03763217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587853112922483,"score_gpt":0.2671837820523291,"score_spread":0.2213052509231042,"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."}}