{"id":"W4245707307","doi":"10.1155/2010/746921","title":"Design, Development and Control of a Hopping Machine – an Exercise in Biomechatronics","year":2010,"lang":"en","type":"article","venue":"Applied Bionics and Biomechanics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; iQmetrix (Canada)","funders":"","keywords":"Context (archaeology); Jump; Controller (irrigation); Propulsion; Simulation; Jumping; Actuator; Computer science; Control system; Control theory (sociology); Control engineering; Engineering; Control (management); Artificial intelligence","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":[0.0002521983,0.0001545668,0.0002129642,0.0002658569,0.00006385829,0.00002832014,0.00007200557,0.0001122031,0.000003183959],"category_scores_gemma":[0.000002784837,0.0001419827,0.00001486618,0.0003261137,0.0000298417,0.00006502082,0.00003029053,0.0001465307,2.352241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118311,"about_ca_system_score_gemma":0.00001782034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007533231,"about_ca_topic_score_gemma":0.00003833333,"domain_scores_codex":[0.9992751,0.000005676979,0.0002317743,0.0001792442,0.0000913566,0.0002167922],"domain_scores_gemma":[0.9997239,0.00002430606,0.00004199853,0.0001207913,0.00002169761,0.00006738449],"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":[0.00002303382,0.00003726565,0.00001961289,0.00006580388,0.00002947828,5.224214e-7,0.0002597449,0.00001062112,0.7173445,0.003716933,0.000002517139,0.27849],"study_design_scores_gemma":[0.002886695,0.0001536195,0.0009645848,0.00007658605,0.00004864899,0.000008659501,0.0005061354,0.1677148,0.8186352,0.004732221,0.003510199,0.0007626616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848605,0.001670782,0.112662,0.00005360717,0.0001279117,0.0004593791,0.000008044972,0.000110323,0.00004742058],"genre_scores_gemma":[0.9898865,0.00108388,0.008941658,0.00002281011,0.000007321537,0.00003185843,0.000008171717,0.0000169584,8.768347e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2777273,"threshold_uncertainty_score":0.5789886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008055932940676759,"score_gpt":0.1892478951719321,"score_spread":0.1811919622312553,"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."}}