{"id":"W1998706880","doi":"10.1109/i2mtc.2012.6229296","title":"Signal processing in iterative improvement of inverted pendulum crane mode control system performance","year":2012,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Óbudai Egyetem; Autoritatea Natională pentru Cercetare Stiintifică","keywords":"Control theory (sociology); Inverted pendulum; Position (finance); Controller (irrigation); Computer science; Mode (computer interface); Control system; SIGNAL (programming language); Control (management); Engineering; Nonlinear system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002001577,0.00009069474,0.0001858625,0.00008219469,0.00002152763,0.00002014859,0.00005473665,0.000039436,0.00002048339],"category_scores_gemma":[0.000002089457,0.00007892913,0.00002375478,0.0001001631,0.000007483603,0.0003827891,0.000005579509,0.00005921074,0.00001026039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108634,"about_ca_system_score_gemma":0.000009983634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001671171,"about_ca_topic_score_gemma":0.00004940532,"domain_scores_codex":[0.9992621,0.00001372797,0.0003452484,0.00007528782,0.0001193228,0.0001843337],"domain_scores_gemma":[0.9997546,0.00000804843,0.0000552594,0.00008707537,0.00005613004,0.00003890769],"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":[0.000044039,0.00009182989,0.02114,0.002273653,0.00004827181,5.188518e-7,0.002958445,0.02193598,0.8982061,0.0004336629,0.0001253944,0.05274209],"study_design_scores_gemma":[0.000791622,0.00002187869,0.01186431,0.0001466391,0.000009862677,0.000001332316,0.0003949479,0.9711353,0.01549267,0.000001034672,0.00004718742,0.00009325698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535058,0.0004492532,0.04281132,0.000008842779,0.0001565687,0.000419109,0.000005501372,0.00009368092,0.002549878],"genre_scores_gemma":[0.9996715,0.000002854688,0.00005402146,0.000005973273,0.00006602686,0.00007241568,0.000004070172,0.00001149775,0.0001117076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9491993,"threshold_uncertainty_score":0.3218637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006775700368876955,"score_gpt":0.1962666160844184,"score_spread":0.1894909157155414,"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."}}