{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650551,0.0001325602,0.0001359897,0.0001678464,0.0002074718,0.00004867745,0.000288335,0.00002143449,0.00003183603],"category_scores_gemma":[0.000008598886,0.0001023751,0.00002718411,0.001405771,0.0001839854,0.0002604138,0.00006796223,0.0001491081,0.0001373393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002921981,"about_ca_system_score_gemma":0.00009299677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008841031,"about_ca_topic_score_gemma":0.00001200911,"domain_scores_codex":[0.9987716,0.00000947166,0.0001241752,0.0004020756,0.0002453707,0.0004472957],"domain_scores_gemma":[0.9995015,0.00005288426,0.00005629889,0.0002635535,0.0000416677,0.00008414243],"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":[0.0001844405,0.0003816881,0.09839981,0.00005896053,0.00003424728,0.0001572034,0.003373333,0.3714838,0.4358684,0.02843676,0.002355203,0.05926618],"study_design_scores_gemma":[0.0095468,0.00133963,0.2739376,0.001558247,0.00007494717,0.00002748731,0.00360314,0.02446146,0.6117892,0.01926381,0.05036999,0.004027719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874569,0.00003799184,0.004380201,0.0003580486,0.0003087377,0.0002346613,0.000009365952,0.00008181926,0.007132252],"genre_scores_gemma":[0.9964689,0.000004724282,0.00192686,0.0001357694,0.0000613578,0.000008616213,0.000005391969,0.00001128418,0.001377069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3470224,"threshold_uncertainty_score":0.4174734,"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."}}