{"id":"W2102508367","doi":"10.1080/11762320903239454","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":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; iQmetrix (Canada)","funders":"","keywords":"Context (archaeology); Jump; Controller (irrigation); Simulation; Propulsion; Jumping; Computer science; Actuator; 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":[0.0005147795,0.0001792748,0.000295614,0.0001894248,0.00004648288,0.00003025014,0.0001060807,0.0001786377,0.000005513463],"category_scores_gemma":[0.000003534345,0.0001590393,0.00001456272,0.0002225314,0.00002659953,0.00004638623,0.00003469523,0.0001466849,0.000002473846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163246,"about_ca_system_score_gemma":0.00003129271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001730151,"about_ca_topic_score_gemma":0.00004241971,"domain_scores_codex":[0.9990813,0.00001001761,0.0003594093,0.0001961299,0.0001190502,0.0002341158],"domain_scores_gemma":[0.9996032,0.0000356961,0.00005770428,0.0001796557,0.00001754917,0.0001061931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002282356,0.00004799023,0.00002147062,0.0002587378,0.00003144233,0.000002339319,0.0008588007,0.0001075908,0.8240322,0.003949227,0.00000346961,0.1706639],"study_design_scores_gemma":[0.00178419,0.00007274434,0.00005077672,0.0001303567,0.00003039329,0.00002166478,0.0003425897,0.7988082,0.1938481,0.001951328,0.002464084,0.0004956202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7173105,0.001635142,0.2799151,0.00002664072,0.0002673227,0.0006511598,0.00001484374,0.0001036748,0.00007561637],"genre_scores_gemma":[0.9903014,0.0004224541,0.009177487,0.00001489196,0.00001235907,0.00003391383,0.00001086957,0.00002410875,0.000002556036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7987006,"threshold_uncertainty_score":0.6485434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008433514144392492,"score_gpt":0.1874148866743984,"score_spread":0.1789813725300059,"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."}}