{"id":"W4392351788","doi":"10.1101/2024.02.22.581436","title":"A biomimetic fruit fly robot for studying the neuromechanics of legged locomotion","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; UK Research and Innovation; National Science Foundation","keywords":"Robot; Computer science; Robotics; Artificial intelligence; Kinematics; Inverse dynamics; Robot locomotion; Inverse kinematics; Legged robot; Control engineering; Simulation; Robot control; Engineering; Mobile robot; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007989022,0.0002072785,0.0001011025,0.0001133735,0.0001155759,0.00009022592,0.000240708,0.0002350605,0.001460018],"category_scores_gemma":[0.00009965226,0.00007649865,0.0001048111,0.00006307527,0.0001554495,0.0001221529,0.0001557018,0.0001690034,0.0002040179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288149,"about_ca_system_score_gemma":0.0001565523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006326016,"about_ca_topic_score_gemma":0.0008627192,"domain_scores_codex":[0.9999732,0.000004088183,9.000919e-7,0.000008609883,0.00001084903,0.000002346766],"domain_scores_gemma":[0.9999511,0.00001219976,0.000008792751,0.000009167052,0.000009011986,0.000009640993],"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":[0.00006144813,0.0000533441,0.002509649,0.00008322165,0.00002056918,0.0001536337,0.00004448345,0.02493822,0.9426438,0.002080537,0.00106758,0.0263435],"study_design_scores_gemma":[0.0001219071,0.0006606597,0.01598169,0.00002780012,0.0000282413,0.0003810923,0.0000516623,0.6957402,0.2647096,0.001604086,0.02065755,0.00003551494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692017,0.0004208635,0.2995018,0.0002686281,0.00006563954,0.0001873291,0.0007195679,0.001388247,0.005430848],"genre_scores_gemma":[0.7494673,0.0001444076,0.2468765,0.00003945476,0.000007484839,0.0001757149,0.0003685965,0.00003839812,0.002882157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460018,"threshold_uncertainty_score":0.004884243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104408523067394,"score_gpt":0.2145054779048053,"score_spread":0.1934613926741314,"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."}}