{"id":"W2056964743","doi":"10.1155/2014/492965","title":"Rotor‐Flying Manipulator: Modeling, Analysis, and Control","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Manipulator (device); Rotor (electric); Control theory (sociology); Control (management); Computer science; Control engineering; Engineering; Mechanical engineering; Robot; Artificial intelligence","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":[0.0008017964,0.0001682349,0.0003655646,0.0002893071,0.00004131226,0.0001142675,0.0003605051,0.0000732741,0.00000271406],"category_scores_gemma":[0.0001864263,0.0001568705,0.00005496158,0.0004687548,0.00001179023,0.0002024415,0.0001140158,0.0002005872,0.00001197632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482734,"about_ca_system_score_gemma":0.000006041221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001060556,"about_ca_topic_score_gemma":6.823128e-7,"domain_scores_codex":[0.998695,0.00003092131,0.0003723507,0.0003295832,0.0002254272,0.0003467263],"domain_scores_gemma":[0.9992412,0.0001932158,0.00004134921,0.0003922999,0.00001952238,0.0001123913],"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":[2.140165e-7,0.00001789962,0.0008555035,0.0001155477,0.00004004628,0.000003036353,0.0002908646,0.9781245,0.0001883698,0.01971113,9.827326e-7,0.0006518795],"study_design_scores_gemma":[0.0002670623,0.00001582259,0.0003138039,0.000103739,0.00002965651,0.00001074453,0.000002946529,0.9895208,0.00001902007,0.009530399,0.000006648448,0.0001793876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004239843,0.00006927708,0.9949566,0.0000600282,0.00005650489,0.000190219,2.853893e-7,0.0002208757,0.000206331],"genre_scores_gemma":[0.7554066,0.00000117141,0.2444988,0.00002150635,0.00002036565,0.00003307076,4.1998e-7,0.00001095257,0.000007126319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7511667,"threshold_uncertainty_score":0.6396995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120626360923726,"score_gpt":0.2130155062853437,"score_spread":0.2009528701929711,"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."}}