{"id":"W4391814733","doi":"10.1002/cjce.25205","title":"Shaping futures: A dialogue on chemical engineering education","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Rehabilitation Institute; University of Toronto; University of British Columbia","funders":"","keywords":"Engineering ethics; Futures contract; Value (mathematics); Experiential learning; Engineering education; Process (computing); Sociology; Engineering; Pedagogy; Engineering management; Computer science; 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":[0.0002358152,0.0002363731,0.0002130712,0.0003545146,0.00003809676,0.0001523424,0.0003452863,0.0001790816,0.00004217042],"category_scores_gemma":[0.0002057401,0.0001884745,0.0001418452,0.0004384131,0.0000357447,0.0001385456,0.000009620266,0.0009085612,0.00002743456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404989,"about_ca_system_score_gemma":0.0004258502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001158258,"about_ca_topic_score_gemma":0.000009017052,"domain_scores_codex":[0.9988609,0.000005201764,0.0003642584,0.0001298355,0.000228167,0.0004116711],"domain_scores_gemma":[0.9990504,0.0001441452,0.0000223006,0.0001741279,0.00005139712,0.000557637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001372671,0.00004671714,0.00001323351,0.003017577,0.0005004003,0.0001317944,0.003126462,0.2782848,0.61637,0.01485803,0.03622211,0.04741519],"study_design_scores_gemma":[0.0004159029,0.00007937643,0.0001702978,0.004768027,0.0001830065,0.001135484,0.0000721969,0.6499377,0.2361347,0.0006828579,0.1051256,0.001294821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589989,0.01430302,0.00724891,0.003156164,0.01464699,0.0002491275,0.00002369705,0.0006518663,0.0007213093],"genre_scores_gemma":[0.9966838,0.00001454985,0.000742434,0.0000883786,0.002357222,0.00001237893,0.0000102241,0.00007348532,0.00001755597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3802353,"threshold_uncertainty_score":0.7685767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008030981300354473,"score_gpt":0.1927105794279102,"score_spread":0.1846795981275557,"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."}}