{"id":"W4385987063","doi":"10.32920/23989437","title":"Aerial Continuum Manipulation: A New Platform for Compliant Aerial Manipulation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rigidity (electromagnetism); Computer science; Adaptability; Control engineering; Manipulator (device); Set (abstract data type); Stewart platform; Artificial intelligence; Control theory (sociology); Robot; Engineering; Control (management); Kinematics; Structural engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001255388,0.0003887365,0.000296654,0.0003510112,0.0002895509,0.0003800272,0.0005432161,0.0004356397,0.002918313],"category_scores_gemma":[0.0001996589,0.0001372506,0.0002172103,0.0003424359,0.0004398498,0.0005942202,0.0009126463,0.0003795538,0.0005888385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154434,"about_ca_system_score_gemma":0.0002646915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003035074,"about_ca_topic_score_gemma":0.0003148393,"domain_scores_codex":[0.9998206,0.00002734071,0.000008551212,0.00003394598,0.00009370774,0.00001585344],"domain_scores_gemma":[0.9998934,0.00002036011,0.00002273597,0.00002899207,0.00002006075,0.00001438275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000251095,0.00009172764,0.00112447,0.0005220947,0.00004650273,0.0008958436,0.0002134057,0.05503991,0.610445,0.04988354,0.003155607,0.2783308],"study_design_scores_gemma":[0.0001943746,0.003423926,0.006148241,0.0002228859,0.00008571414,0.002592825,0.0002490622,0.6614375,0.1767913,0.02381581,0.1249075,0.0001308878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.125402,0.001452493,0.8393541,0.0002595531,0.0001911067,0.0001773127,0.0002137611,0.001818179,0.03113154],"genre_scores_gemma":[0.7360162,0.0008921406,0.2541225,0.0001390142,0.00006965045,0.0001993585,0.0003819907,0.00006617423,0.008112961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002918313,"threshold_uncertainty_score":0.009762704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1220731744783663,"score_gpt":0.2973534090795674,"score_spread":0.1752802346012011,"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."}}