{"id":"W2783644831","doi":"10.1115/imece2017-72290","title":"Control Theory Practices Applied to Teaching Practical Control Theory","year":2017,"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":"Outcome (game theory); Controller (irrigation); Set (abstract data type); Control (management); Computer science; Course (navigation); Range (aeronautics); Point (geometry); Control system; Macro; Control engineering; Control theory (sociology); Artificial intelligence; Engineering; Mathematics","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":[0.001754942,0.0002795477,0.0003081731,0.00008186527,0.0004036401,0.0003638351,0.0004434195,0.0001224531,0.0003033526],"category_scores_gemma":[0.002690364,0.0002595769,0.0000706225,0.00002480932,0.00006004368,0.0005323394,0.00007649345,0.0007266616,0.0004956152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009392249,"about_ca_system_score_gemma":0.00001636176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001240393,"about_ca_topic_score_gemma":0.000002465625,"domain_scores_codex":[0.9986001,0.0001348777,0.0002579777,0.0002958362,0.0002433466,0.0004678179],"domain_scores_gemma":[0.9974636,0.001364631,0.0001561333,0.0007813295,0.00002159367,0.0002126731],"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":[0.0003654638,0.00008922208,0.0005086172,0.00005646876,0.0004574909,0.0000438479,0.0008969562,0.1013635,0.2127444,0.6726578,0.00169641,0.009119884],"study_design_scores_gemma":[0.01983494,0.0008110824,0.01842695,0.0004175319,0.0009555965,0.0003528353,0.007331549,0.4305862,0.1013425,0.01545737,0.3981174,0.006365949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02090627,0.00009932776,0.6391044,0.0005805197,0.0006402339,0.0005283498,0.000004786626,0.001128806,0.3370073],"genre_scores_gemma":[0.9821848,0.000002563198,0.01609073,0.0004529011,0.0003366632,0.0001217697,0.000001445498,0.0001001418,0.0007090023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9612785,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131888685468224,"score_gpt":0.2994761688542576,"score_spread":0.2881572819995754,"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."}}