{"id":"W2113125151","doi":"10.24908/pceea.v0i0.3981","title":"DESIGN AND TEST OF PNEUMATIC SYSTEMS FOR PRODUCTION AUTOMATION","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mechatronics Education and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Production (economics); Test (biology); Manufacturing engineering; Engineering; Automatic test equipment; Solenoid valve; Automotive engineering; Computer science; Control engineering; Mechanical engineering; Reliability engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004153031,0.0001009975,0.0001290688,0.0002116888,0.00008422509,0.00002885225,0.0001354417,0.00009187747,0.000005985258],"category_scores_gemma":[0.0007966773,0.0001042385,0.00003362781,0.0003031319,0.00001383199,0.000154905,0.00000564788,0.00007690756,0.000001767647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006300551,"about_ca_system_score_gemma":0.0002330692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005906253,"about_ca_topic_score_gemma":0.0001287064,"domain_scores_codex":[0.9992992,0.000003691242,0.0002972625,0.0001133544,0.0001291188,0.000157384],"domain_scores_gemma":[0.999065,0.00008283049,0.0002231995,0.00009025628,0.0004447314,0.00009401798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001448329,0.0007967113,0.07004927,0.01365142,0.0007993373,2.336696e-8,0.0400187,0.09097168,0.2135185,0.3923133,0.1698528,0.008013718],"study_design_scores_gemma":[0.0006757815,0.0001240859,0.163389,0.001038456,0.0004237619,0.00001699666,0.003487114,0.6689087,0.1391769,0.004071414,0.01755954,0.001128273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637866,0.001130739,0.01408259,0.00270776,0.006586763,0.006380949,0.00008482315,0.0006454521,0.004594321],"genre_scores_gemma":[0.9921112,0.00003370542,0.006978586,0.00001107967,0.00006627984,0.0003626377,0.000005770131,0.00002786632,0.000402878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5779371,"threshold_uncertainty_score":0.4250721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395564151800428,"score_gpt":0.1929852925177619,"score_spread":0.1790296509997577,"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."}}