{"id":"W4366982534","doi":"10.1002/advs.202207493","title":"Amphibious Miniature Soft Jumping Robot with On‐Demand In‐Flight Maneuver","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Chinese University of Hong Kong; National Natural Science Foundation of China","keywords":"Controllability; Robot; Jumping; Kinematics; Simulation; Control theory (sociology); Computer science; Control engineering; Engineering; Artificial intelligence; Physics; Control (management)","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":[0.00004645978,0.0002290363,0.0001677338,0.0001229527,0.0001587158,0.0001057289,0.0004345643,0.0001887411,0.001834818],"category_scores_gemma":[0.00005225187,0.00009988554,0.0001719582,0.00006077791,0.0001715555,0.000136867,0.0002533817,0.0001907937,0.0002760105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006408946,"about_ca_system_score_gemma":0.000110114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819524,"about_ca_topic_score_gemma":0.0004974795,"domain_scores_codex":[0.9999688,0.000002449569,0.000001519528,0.000007322442,0.00001383417,0.000006095073],"domain_scores_gemma":[0.9999564,0.000006152551,0.00001126124,0.00000804542,0.000006370949,0.00001186752],"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":[0.0001429472,0.00007838376,0.001898971,0.0002962531,0.00003154914,0.0004275774,0.0001023967,0.01733719,0.899628,0.002062505,0.001312003,0.07668227],"study_design_scores_gemma":[0.0002089643,0.002755743,0.02451206,0.00005449142,0.0001511818,0.002263383,0.0001260309,0.6177026,0.3169118,0.002025228,0.03316455,0.0001239891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7177553,0.000569863,0.261531,0.0002325265,0.0001182839,0.0001422808,0.0002365471,0.002534905,0.01687937],"genre_scores_gemma":[0.9520743,0.00009399275,0.04360832,0.00005393206,0.00001183967,0.00006505666,0.0001280202,0.00002115931,0.00394342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001834818,"threshold_uncertainty_score":0.006138027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007074876159095096,"score_gpt":0.2497545670695709,"score_spread":0.2426796909104758,"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."}}