{"id":"W4381186310","doi":"10.11159/cdsr23.209","title":"Estimation of Time-Varying Inertia of Aerial Manipulators Performing Manipulation of Unknown Objects","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Control, Dynamic systems, and Robotics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Inertia; Artificial intelligence; Estimation; Computer vision; Control theory (sociology); Engineering; Control (management); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001298214,0.0003855104,0.0002621278,0.0004331589,0.0001496877,0.0001880655,0.0002699449,0.0002337698,0.0002898045],"category_scores_gemma":[0.000688074,0.000170701,0.0001809599,0.0001711332,0.0001610062,0.0003405141,0.0002047586,0.0001935923,0.0001148556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198556,"about_ca_system_score_gemma":0.0002283899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441546,"about_ca_topic_score_gemma":0.002695053,"domain_scores_codex":[0.9999093,0.00000790373,0.000004713712,0.00002544556,0.00004269375,0.000009872193],"domain_scores_gemma":[0.9997831,0.00006508057,0.00007200878,0.00002537784,0.00004269415,0.00001179704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002650833,0.00006972719,0.01274899,0.0001929418,0.0001104093,0.0004223535,0.0003321283,0.2032093,0.3059779,0.001729652,0.0004544061,0.4744871],"study_design_scores_gemma":[0.00001960247,0.0001706696,0.01776418,0.00001163014,0.00003450019,0.0002189139,0.00005197221,0.9437125,0.03609191,0.0005992588,0.001299495,0.00002521588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1349595,0.0001683953,0.8640643,0.0000175861,0.00001584813,0.00001360888,0.00002533485,0.0002774856,0.0004578621],"genre_scores_gemma":[0.887184,0.0001664303,0.111905,0.000007743962,0.00001970124,0.00001897482,0.00006470689,0.0000235022,0.0006097784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002441546,"threshold_uncertainty_score":0.00485462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203016730853339,"score_gpt":0.2616689589256228,"score_spread":0.2413672858402889,"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."}}