{"id":"W4200397375","doi":"10.1038/s41467-021-27265-w","title":"Legless soft robots capable of rapid, continuous, and steered jumping","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; National Natural Science Foundation of China; University of Bristol","keywords":"Jumping; Robot; Obstacle; Computer science; Actuator; Simulation; Obstacle avoidance; Mobile robot; Control theory (sociology); Artificial intelligence; Control (management); Biology","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":[0.00005325867,0.0002306408,0.0002041214,0.0001467557,0.000129027,0.000227753,0.0002971845,0.0002925553,0.001426587],"category_scores_gemma":[0.0001459641,0.0001206133,0.0001606581,0.00007120045,0.000334878,0.0002468586,0.0004231621,0.0003340973,0.0004165622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007238847,"about_ca_system_score_gemma":0.0001202879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001780437,"about_ca_topic_score_gemma":0.0003303523,"domain_scores_codex":[0.99994,0.00000458922,0.000004106417,0.000009841175,0.00003087712,0.00001062194],"domain_scores_gemma":[0.9998792,0.00002564184,0.00003184196,0.00001315685,0.00001520448,0.00003491397],"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":[0.00003865091,0.00001865335,0.0002590418,0.0001565517,0.000009868682,0.0001088809,0.00002793292,0.001709973,0.9772394,0.0006509993,0.0002114457,0.01956859],"study_design_scores_gemma":[0.00008057665,0.001506544,0.01033097,0.00006766649,0.00006256976,0.0009750273,0.0001328363,0.09972405,0.8692182,0.001611607,0.01619101,0.00009897401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836786,0.001043783,0.152642,0.0002054146,0.000212557,0.00007421215,0.0001683643,0.001265274,0.007602422],"genre_scores_gemma":[0.9593583,0.0003207008,0.03436659,0.0001356567,0.00002424897,0.00006163687,0.0001387699,0.00003079398,0.005563266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426587,"threshold_uncertainty_score":0.004772365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509076259522024,"score_gpt":0.251997369483376,"score_spread":0.2369066068881557,"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."}}