{"id":"W2375506462","doi":"","title":"Application of Pole Placement in Gantry Crane Model","year":2006,"lang":"en","type":"article","venue":"Research and Exploration in Laboratory","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gantry crane; Engineering; Control theory (sociology); Control (management); Computer science; Structural engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000564383,0.00004675985,0.0000955644,0.0001592659,0.00001594883,0.00001599285,0.00004980536,0.00005002076,0.000001929314],"category_scores_gemma":[0.00001039543,0.00004829163,0.000005801476,0.0003361311,0.00001948284,0.0001601491,0.00001161402,0.0001113564,0.000004422588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007715583,"about_ca_system_score_gemma":0.00002941505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152327,"about_ca_topic_score_gemma":0.0004864025,"domain_scores_codex":[0.9993101,0.00003532326,0.0002139867,0.00009326378,0.000196601,0.0001507378],"domain_scores_gemma":[0.9997536,0.00003038328,0.00001419012,0.00009444511,0.00007703306,0.00003033437],"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":[0.00006131983,0.0001397766,0.002151645,0.0001785208,0.000004911094,0.000002693858,0.0001955645,0.7587951,0.1567417,0.07975487,0.0005024574,0.001471393],"study_design_scores_gemma":[0.0004284332,0.00002840185,0.0005184624,0.00002457117,3.741101e-7,5.715668e-8,0.0001721925,0.9899566,0.00145367,0.00709094,0.0002766938,0.00004966422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050508,0.0012639,0.0909506,0.0002788601,0.00004768955,0.0005107678,0.0000296751,0.0000438084,0.001823868],"genre_scores_gemma":[0.9995728,0.0001137168,0.0001207375,0.00000423624,0.00002762007,0.0001166899,0.00001299512,0.000007944026,0.00002323174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311614,"threshold_uncertainty_score":0.1969276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855702484529874,"score_gpt":0.273363160928722,"score_spread":0.2548061360834233,"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."}}