{"id":"W1790239018","doi":"10.24908/pceea.v0i0.5837","title":"Industrial Automation in Unit Operations Labs","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Automation; Fieldbus; Interface (matter); Unit (ring theory); Graduation (instrument); Curriculum; Computer science; Control (management); Control unit; Software engineering; Engineering management; Manufacturing engineering; Systems engineering; Engineering; Control system; Artificial intelligence; Operating system; Electrical engineering; Mechanical engineering","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":[0.0004468276,0.0001527093,0.0001507297,0.0004411475,0.00006025625,0.00009645143,0.0002499195,0.0001968548,0.00001588875],"category_scores_gemma":[0.0009577838,0.0001710631,0.00004207867,0.0008391974,0.000009417507,0.0003617923,0.00002012665,0.0003585204,0.00001797028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003560288,"about_ca_system_score_gemma":0.0004715319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003903549,"about_ca_topic_score_gemma":0.006064139,"domain_scores_codex":[0.9989708,0.000006890364,0.0003162845,0.00012578,0.0002912659,0.0002889945],"domain_scores_gemma":[0.9993427,0.00002514586,0.00006935414,0.00009093012,0.0002605212,0.0002112956],"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":[0.000001468141,0.00003725625,0.08817649,0.00008756156,0.00005265024,1.302916e-7,0.002743409,0.8791234,0.007668011,0.005133464,0.01635103,0.0006251118],"study_design_scores_gemma":[0.001592493,0.00005230817,0.1673759,0.0006589215,0.00006420017,0.00001241691,0.002330783,0.679424,0.0281713,0.0002246531,0.118912,0.001181026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847667,0.0001566202,0.00006489082,0.0009416316,0.003098381,0.0004461136,0.00001506068,0.0003565601,0.01015409],"genre_scores_gemma":[0.9971992,0.000003561789,0.001703961,0.00003939655,0.0002024304,0.00007398926,0.00001434132,0.0000478087,0.0007152569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1996994,"threshold_uncertainty_score":0.9310029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643001234102237,"score_gpt":0.218353283881909,"score_spread":0.2019232715408867,"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."}}