{"id":"W4283074724","doi":"10.1002/cjce.24506","title":"Chemical engineering at crossroads","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Introspection; Curriculum; Process (computing); Field (mathematics); Maturity (psychological); Core competency; Engineering ethics; Petrochemical; Engineering management; Cannibalization; Engineering; Engineering education; Computer science; Business; Mathematics; Marketing; Sociology; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006018285,0.0007017503,0.0007082745,0.002382483,0.005980027,0.009376423,0.002050005,0.004924896,0.05377272],"category_scores_gemma":[0.01197377,0.0004889849,0.0004544026,0.001430117,0.007704996,0.00816934,0.008212925,0.01063335,0.01142084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00986698,"about_ca_system_score_gemma":0.01862059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01441935,"about_ca_topic_score_gemma":0.01993908,"domain_scores_codex":[0.9942296,0.0009482449,0.0002357039,0.0007658343,0.002998094,0.0008225384],"domain_scores_gemma":[0.987082,0.00268004,0.0004719748,0.001513287,0.005357058,0.002895682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003546036,0.0001338252,0.001441338,0.0004503895,0.00001410435,0.0003269655,0.002656385,0.0006666417,0.001710782,0.6791163,0.1541091,0.1593386],"study_design_scores_gemma":[0.000003667032,0.00005397345,0.0006909979,0.0003434451,0.000004738455,0.0002331759,0.001097192,0.0004262087,0.0008940685,0.123856,0.8723775,0.00001921255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01678033,0.02656765,0.03563685,0.3054594,0.02108776,0.0002188825,0.000303817,0.0009616049,0.5929837],"genre_scores_gemma":[0.3821502,0.03333219,0.03727588,0.09737863,0.008206884,0.0002193633,0.0005109198,0.0007731057,0.4401529],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05377272,"threshold_uncertainty_score":0.1798877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007173029617405626,"score_gpt":0.1869172498343863,"score_spread":0.1797442202169807,"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."}}