{"id":"W1872488501","doi":"10.24908/pceea.v0i0.4863","title":"Teaching Design using a Pharmaceutical Tablet Crusher Case Study","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Crusher; Product design; Process (computing); Product (mathematics); Computer science; Pharmaceutical engineering; Engineering management; New product development; Focus group; Engineering; Medicine; Pharmaceutical industry; Mechanical engineering; Marketing; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005515263,0.0002105443,0.0001891617,0.0003154169,0.0001943437,0.0001545966,0.0002487561,0.0001676044,0.00008676103],"category_scores_gemma":[0.0003839682,0.000201945,0.00006500589,0.0004991486,0.0000144639,0.0003760524,0.00002283569,0.0004679662,0.0000195678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085878,"about_ca_system_score_gemma":0.0002821559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03394641,"about_ca_topic_score_gemma":0.000778818,"domain_scores_codex":[0.998723,0.00001336022,0.0003421473,0.0001845124,0.0003080127,0.0004289954],"domain_scores_gemma":[0.9990901,0.00006379926,0.0000998161,0.0001161181,0.000280483,0.000349628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009720642,0.002157884,0.1437081,0.005734524,0.002369134,0.00002039279,0.03998896,0.2173008,0.1305452,0.003940152,0.4108593,0.04336579],"study_design_scores_gemma":[0.0008345158,0.0000707681,0.03158361,0.0004061593,0.0003619349,0.0004116078,0.006449161,0.9271459,0.003867202,0.0002512093,0.02728637,0.001331549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935946,0.0001148462,0.0006420305,0.00106065,0.002440065,0.0008823319,0.000005975604,0.0002648802,0.0009945704],"genre_scores_gemma":[0.9950699,0.000002792321,0.003717342,0.0001050242,0.0003122201,0.0001393969,0.000002045974,0.00006061645,0.0005906391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7098451,"threshold_uncertainty_score":0.9724866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779659662689601,"score_gpt":0.2422980217217945,"score_spread":0.2245014250948985,"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."}}