{"id":"W2914080529","doi":"10.1007/s11071-019-04807-y","title":"A new control method for planar four-link underactuated manipulator based on intelligence optimization","year":2019,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Higher Education Discipline Innovation Project; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Underactuation; Lyapunov function; Link (geometry); Planar; Coupling (piping); Constraint (computer-aided design); Torque; Position (finance); Angular velocity; Function (biology); Computer science; Control (management); Mathematics; Engineering; Nonlinear system; Physics; 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":[0.0001567041,0.00018696,0.0002403713,0.0001001725,0.00003410409,0.000046806,0.0001523069,0.0001416298,0.0002130646],"category_scores_gemma":[0.00004544689,0.0001851733,0.000100017,0.0001321513,0.000005161979,0.00006699109,0.000004167591,0.0001619421,0.0001434106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560999,"about_ca_system_score_gemma":0.00005681801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002190032,"about_ca_topic_score_gemma":0.00003431546,"domain_scores_codex":[0.9991127,0.00002956349,0.0002633331,0.0002092987,0.0001524158,0.0002326985],"domain_scores_gemma":[0.9992363,0.0002662622,0.00004993124,0.0002749088,0.00006586497,0.0001066626],"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":[0.00007358126,0.00001709667,0.00004528026,0.00003176467,0.000036663,0.000001186948,0.00001039469,0.9811231,0.0000436356,0.001787511,0.00009969564,0.01673007],"study_design_scores_gemma":[0.001405672,0.0001120444,0.00003275555,0.00002934298,0.00003456799,0.000002157724,0.00001200218,0.9972626,0.00005047937,0.0002768176,0.0005793602,0.0002021872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001234196,0.000009576478,0.9967968,0.0009489435,0.0004716007,0.0007323314,0.00005193279,0.000272675,0.0005927018],"genre_scores_gemma":[0.09036022,0.000007625606,0.9070773,0.001188358,0.0002022431,0.00002641592,0.000450368,0.00009766797,0.0005898706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09023681,"threshold_uncertainty_score":0.7551147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299185818462186,"score_gpt":0.2458179571301947,"score_spread":0.2328260989455729,"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."}}