{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007462278,0.0007611847,0.0005797495,0.001490597,0.006777544,0.005009283,0.00284929,0.004906304,0.008741958],"category_scores_gemma":[0.0118932,0.0005809062,0.0007579073,0.001386529,0.004864282,0.002682881,0.003172913,0.002987065,0.001655991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005341128,"about_ca_system_score_gemma":0.003048519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787861,"about_ca_topic_score_gemma":0.009162503,"domain_scores_codex":[0.9884687,0.008134104,0.0003658637,0.0005818967,0.001605027,0.0008443413],"domain_scores_gemma":[0.9849929,0.01045277,0.0006168028,0.001028903,0.001192658,0.001716016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000664858,0.007372313,0.008504746,0.001749547,0.00006460302,0.04185802,0.5212172,0.02168318,0.0251708,0.102673,0.02668539,0.2423564],"study_design_scores_gemma":[0.0003721696,0.003797064,0.00505854,0.001302981,0.00006681561,0.01933736,0.2628802,0.02736997,0.03387118,0.01547533,0.6302395,0.0002288617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791375,0.001010411,0.07876056,0.007708545,0.0002136563,0.002068031,0.0001929218,0.000378966,0.1182918],"genre_scores_gemma":[0.8753807,0.001145005,0.07954902,0.000810104,0.00007936389,0.0005313532,0.0001009259,0.0001305169,0.04227301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008741958,"threshold_uncertainty_score":0.03946477,"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."}}