{"id":"W4401313244","doi":"10.18260/1-2--47933","title":"Reflections on Multi-campus Teaching in a New Manufacturing Engineering Program","year":2024,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Situated; Curriculum; Engineering education; Outreach; Context (archaeology); Higher education; Engineering management; Computer science; Pedagogy; Sociology; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001126516,0.000247325,0.0001478006,0.0004346856,0.00003703263,0.0001466152,0.0001212674,0.00009325388,0.00004826625],"category_scores_gemma":[0.00002389708,0.0002590335,0.00006889651,0.0001988976,0.000005638936,0.0002021237,0.00003005852,0.0008850748,0.0001278525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401194,"about_ca_system_score_gemma":0.00001279864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004703708,"about_ca_topic_score_gemma":0.00004870563,"domain_scores_codex":[0.9989854,0.000009504849,0.0002212336,0.0002613635,0.0001258059,0.0003967451],"domain_scores_gemma":[0.9996311,0.00007213773,0.000005542793,0.0001781813,0.000001652981,0.0001113508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001473386,0.00003404584,0.0000248663,0.0001130185,0.0000364185,0.00004983279,0.0008444698,0.9392498,0.02554454,0.001912531,0.0002646616,0.03192432],"study_design_scores_gemma":[0.0002350758,0.00006065763,0.0005527397,0.0004388871,0.000006000373,0.00003085838,0.0001140311,0.8859731,0.03453688,0.00001314518,0.0776388,0.0003998189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5898096,0.003001605,0.2463753,0.000186635,0.006310646,0.001486729,0.000004727865,0.03724188,0.1155829],"genre_scores_gemma":[0.9171734,0.00001376016,0.08128972,0.0000127621,0.0001917783,0.00006503815,0.00000480502,0.0001243585,0.001124319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3273639,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884399115636613,"score_gpt":0.320439091052461,"score_spread":0.3015950998960948,"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."}}