{"id":"W1814154117","doi":"10.24908/pceea.v0i0.4792","title":"DESIGNING AN UNDERGRADUATE FOOD PROCESSING LABORATORY FOR THE UNIVERSITY OF WATERLOO","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; University of Toronto","keywords":"Food processing; Food industry; Procurement; Engineering management; Food engineering; Food plant; Engineering; Computer science; Manufacturing engineering; Marketing; Business; Food science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001655584,0.0005774687,0.0003129146,0.0006811289,0.002595281,0.001990134,0.001864538,0.0009255334,0.03698109],"category_scores_gemma":[0.002023717,0.0006456179,0.0005592976,0.0004556706,0.0007198279,0.001266225,0.001829855,0.0008670937,0.008607801],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003617809,"about_ca_system_score_gemma":0.01278135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02737882,"about_ca_topic_score_gemma":0.08428499,"domain_scores_codex":[0.998971,0.0001544721,0.0000379241,0.0001568891,0.0004080695,0.0002716525],"domain_scores_gemma":[0.9982519,0.000105537,0.00007293795,0.0001135834,0.0006680711,0.0007879447],"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":[0.0006953928,0.004668328,0.02654237,0.0008606886,0.0000305627,0.002231924,0.003927053,0.007485895,0.2166143,0.0197009,0.1433825,0.5738601],"study_design_scores_gemma":[0.0003369563,0.003765742,0.02033533,0.0003162048,0.00006605277,0.001196013,0.005737511,0.02159027,0.05020156,0.003685324,0.8925357,0.000233393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2431098,0.0006779778,0.4795321,0.01092938,0.001348996,0.01028612,0.00125665,0.01331407,0.2395449],"genre_scores_gemma":[0.2068558,0.000586674,0.649525,0.001350422,0.0001095723,0.001773971,0.0008588333,0.0004280981,0.1385117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9963822,"threshold_uncertainty_score":0.123714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005852078838210872,"score_gpt":0.1765462844621677,"score_spread":0.1706942056239568,"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."}}