{"id":"W4226268627","doi":"10.1115/1.4053897","title":"Reorientation of Free-Falling Legged Robots","year":2022,"lang":"en","type":"article","venue":"ASME Open Journal of Engineering","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Robot; Falling (accident); Control theory (sociology); Computer science; Simulation; Architecture; Legged robot; Control engineering; Engineering; Artificial intelligence; Physics; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404959,0.00009206688,0.0002371987,0.00014811,0.0000466759,0.00003693603,0.0005357935,0.00001934758,0.0002014665],"category_scores_gemma":[0.00005172007,0.00009879823,0.00008041445,0.0002095988,0.000004790123,0.000292495,0.0001061728,0.0002704022,0.000001615455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008492424,"about_ca_system_score_gemma":0.00002203094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005303499,"about_ca_topic_score_gemma":6.275776e-7,"domain_scores_codex":[0.9990857,0.0000233606,0.0004516508,0.00005807857,0.0002457158,0.0001354795],"domain_scores_gemma":[0.9995494,0.00004531816,0.0001258557,0.0001508663,0.00006402762,0.00006445925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001230988,0.00001667795,0.0001065593,0.00001877601,0.00006970533,0.00001525736,0.0002404397,0.9724348,0.02448952,0.0008346809,0.0003650945,0.001396231],"study_design_scores_gemma":[0.007276583,0.0006251049,0.008213168,0.0002775934,0.0001634954,0.0004973341,0.001439017,0.9568192,0.0156382,0.0008693247,0.007466238,0.0007146806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5376815,0.001441694,0.4492813,0.0004284085,0.004405892,0.0005417191,0.00001441592,0.0001215794,0.006083558],"genre_scores_gemma":[0.990484,0.0000166701,0.009303754,0.0000155649,0.00007987442,0.000007201579,0.000001596875,0.00002628043,0.00006506114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528025,"threshold_uncertainty_score":0.4028875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103694988081893,"score_gpt":0.2168416869265854,"score_spread":0.2064721881183961,"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."}}