{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001009539,0.0002125245,0.0003105948,0.0003189437,0.00003151104,0.00006027485,0.0003470249,0.0001993359,0.000007728707],"category_scores_gemma":[0.002182997,0.0002112639,0.00006183457,0.000882803,0.00001432253,0.0002721533,0.00004754506,0.0001892942,0.000003475176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791896,"about_ca_system_score_gemma":0.0004508505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007761852,"about_ca_topic_score_gemma":0.001384587,"domain_scores_codex":[0.998354,0.000009111499,0.0007053615,0.0002025996,0.000339713,0.0003892338],"domain_scores_gemma":[0.9989042,0.00007636319,0.0002631438,0.0001336056,0.0004139858,0.000208738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001228343,0.0004989039,0.04781007,0.008259927,0.0003183417,4.364302e-7,0.009731939,0.01872928,0.8904488,0.01356692,0.00665402,0.003969071],"study_design_scores_gemma":[0.001968629,0.0002208983,0.1878099,0.003853772,0.000178117,0.00001460645,0.003983856,0.09750572,0.692687,0.0007342423,0.009008386,0.002034869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99503,0.0001436518,0.0003467622,0.0004178269,0.002987803,0.0004066647,0.00001540256,0.0001441639,0.000507681],"genre_scores_gemma":[0.994163,0.000006830922,0.005402283,0.00002778022,0.000184766,0.00010093,0.000008420932,0.00004312868,0.0000628003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1977618,"threshold_uncertainty_score":0.9988456,"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."}}