{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934998,0.0003642949,0.0003142533,0.000223203,0.0002349397,0.0004523861,0.0004991738,0.0006256716,0.001419627],"category_scores_gemma":[0.0003184513,0.0002032056,0.0002676371,0.0001549865,0.0003405405,0.0003563479,0.0003833629,0.0004283971,0.0005943097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977808,"about_ca_system_score_gemma":0.0004888303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005850278,"about_ca_topic_score_gemma":0.0003945207,"domain_scores_codex":[0.9997458,0.00003159164,0.00001405109,0.00005417079,0.000136289,0.00001805976],"domain_scores_gemma":[0.9998614,0.00002755706,0.00002013116,0.00002488846,0.00005148784,0.00001450908],"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":[0.0001559007,0.0001696917,0.001276647,0.000749953,0.00006083348,0.0003791807,0.0003251734,0.2311258,0.4064049,0.01981351,0.002605769,0.3369327],"study_design_scores_gemma":[0.00008971315,0.001685622,0.00424383,0.0001386049,0.0000583207,0.0006843334,0.00007911573,0.7524608,0.1543362,0.006321575,0.07983055,0.00007129809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03450889,0.000774014,0.9526222,0.0002418686,0.000128774,0.0002145029,0.00004223253,0.001401137,0.01006633],"genre_scores_gemma":[0.7042552,0.000995177,0.2804645,0.0001166889,0.00006666742,0.000443832,0.0001174226,0.00009709299,0.01344333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001419627,"threshold_uncertainty_score":0.004749119,"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."}}