{"id":"W7056024230","doi":"","title":"Efficient Robotic Walking by Learning Gaits and Terrain Properties","year":2014,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Gratitude; Terrain; Work (physics); Robotics; Mobile robot; Supervisor; Action (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003558802,0.0006682057,0.0007789209,0.0006261041,0.00033438,0.0007350522,0.0006866892,0.0005951084,0.001795445],"category_scores_gemma":[0.001940345,0.0007250541,0.0005714107,0.0005931836,0.0003670594,0.001240994,0.001098582,0.0007077411,0.0006042502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344593,"about_ca_system_score_gemma":0.0004288349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471507,"about_ca_topic_score_gemma":0.005529592,"domain_scores_codex":[0.9998498,0.00003616625,0.000009423469,0.00005226603,0.00003032942,0.00002200599],"domain_scores_gemma":[0.9995541,0.0001780131,0.00006512016,0.00009670063,0.00006404347,0.00004198892],"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":[0.000231379,0.0001498874,0.003128102,0.0001562327,0.0001139639,0.0001010855,0.0001323601,0.6832486,0.01992184,0.00507455,0.002629719,0.2851123],"study_design_scores_gemma":[0.00001102333,0.00004754129,0.0008452659,0.00001319473,0.000008600947,0.00003442731,0.00002481041,0.9927298,0.0009180728,0.004917515,0.0004414055,0.000008257955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1185521,0.0004190899,0.8751824,0.0002243188,0.00006891858,0.00008624096,0.0001762269,0.00139327,0.003897365],"genre_scores_gemma":[0.8380373,0.0003135928,0.1583684,0.00006331466,0.00002428397,0.00009792088,0.0003634089,0.0001785701,0.002553316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003471507,"threshold_uncertainty_score":0.006902575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115566259197488,"score_gpt":0.2142515934651233,"score_spread":0.2030959308731485,"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."}}