{"id":"W1944583943","doi":"10.24908/pceea.v0i0.3824","title":"AN OVERVIEW OF CHEMICAL PROCESS DESIGN ENGINEERING","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process design; Product design; Engineering design process; Process (computing); Computer science; Parallels; Design process; Product (mathematics); Biochemical engineering; Process engineering; Systems engineering; Engineering; Process integration; Mechanical engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002383298,0.0001341832,0.0001456057,0.00005171284,0.00003198852,0.00001564103,0.0003948139,0.0001330083,0.0001950182],"category_scores_gemma":[0.0004334504,0.0001359851,0.00006196093,0.0004186183,0.00001914684,0.0002315368,0.00002636357,0.0001649643,0.000004402036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095884,"about_ca_system_score_gemma":0.0001050667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804587,"about_ca_topic_score_gemma":0.00006549354,"domain_scores_codex":[0.9990768,0.000002017251,0.0002445147,0.0001718396,0.0002601561,0.0002446582],"domain_scores_gemma":[0.999391,0.00002064028,0.0001851948,0.000106851,0.00008568108,0.0002106519],"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":[0.000005671624,0.0001724217,0.04389038,0.0005864908,0.00005510298,9.957609e-8,0.002178929,0.01130605,0.9376764,0.001611786,0.001952561,0.0005641566],"study_design_scores_gemma":[0.0001070072,0.00001232509,0.02432317,0.0001391457,0.00003684784,0.000003400694,0.00006509724,0.01352656,0.960616,0.0001876332,0.0007268269,0.0002560092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956278,0.00005182867,0.00007481438,0.0001158932,0.0002326417,0.0002059098,0.00000755486,0.0000656812,0.003617838],"genre_scores_gemma":[0.9964241,0.000004227884,0.003340569,0.00003335722,0.00004846075,0.00002949314,0.000002695916,0.00002319506,0.00009392935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02293963,"threshold_uncertainty_score":0.554531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784991763223106,"score_gpt":0.2141945300959973,"score_spread":0.1963446124637662,"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."}}