{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000305468,0.0003655017,0.0003328663,0.0002261123,0.0002364828,0.000451859,0.0005188561,0.000643774,0.001416173],"category_scores_gemma":[0.0003337968,0.0001993133,0.0002703618,0.0001565654,0.0003477973,0.0003558723,0.0003970038,0.0004469297,0.0006136935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958171,"about_ca_system_score_gemma":0.0004846765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005834197,"about_ca_topic_score_gemma":0.000385636,"domain_scores_codex":[0.9997396,0.00003258192,0.00001475032,0.00005594195,0.0001385734,0.00001847379],"domain_scores_gemma":[0.9998542,0.00002897673,0.00002091698,0.00002594585,0.00005421905,0.00001570775],"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":[0.0001598044,0.0001597354,0.001324905,0.0007473814,0.0000627008,0.0004081951,0.000334739,0.2280384,0.3946425,0.01887961,0.002602411,0.3526396],"study_design_scores_gemma":[0.00008991265,0.001722265,0.004253002,0.0001430943,0.00006123919,0.0007507603,0.00008252903,0.7576166,0.1482966,0.006384996,0.08052551,0.00007354115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03168918,0.0007299527,0.9567787,0.0002347887,0.0001244176,0.000206529,0.00003936592,0.001407654,0.008789394],"genre_scores_gemma":[0.6862472,0.0009423312,0.2995622,0.0001208743,0.00006777587,0.000433455,0.0001168921,0.00009772456,0.01241157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001416173,"threshold_uncertainty_score":0.004737556,"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."}}