{"id":"W2567748193","doi":"10.1016/j.ymssp.2017.01.001","title":"Dynamic contraction behaviour of pneumatic artificial muscle","year":2017,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Artificial muscle; Pneumatic artificial muscles; Inertia; Dynamic simulation; Computer science; Control theory (sociology); Simulation; Control engineering; Engineering; Actuator; 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":[0.0002294686,0.00008100094,0.0001815754,0.00002687063,0.0002055505,0.0001474007,0.00007850784,0.00008031603,0.000004266558],"category_scores_gemma":[0.00001816706,0.00006916883,0.00003039395,0.00002034663,0.00003909711,0.0001250488,0.00001700059,0.00009235119,0.000001767858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002870233,"about_ca_system_score_gemma":0.00001007445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003763755,"about_ca_topic_score_gemma":0.000008074127,"domain_scores_codex":[0.99936,0.0000144098,0.0002849561,0.000101315,0.0001240341,0.0001152937],"domain_scores_gemma":[0.9996441,0.0000217332,0.0001117214,0.0001145626,0.0000556685,0.00005219057],"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":[0.00002442898,0.0001750574,0.0003605808,0.003185795,0.0000485431,0.00001017101,0.0006214146,0.02650097,0.7144305,0.01495198,0.00001057813,0.2396799],"study_design_scores_gemma":[0.0001415167,0.00005430026,0.002783756,0.0002621107,0.00002243105,0.000006737225,0.0002671466,0.9934109,0.001433283,0.001482765,0.00002217636,0.0001128657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518071,0.0006107385,0.1466414,0.00006908605,0.0003278955,0.0001930396,0.000005837681,0.00006599664,0.0002788897],"genre_scores_gemma":[0.9994993,0.00001022079,0.000424812,0.000001845799,0.00002424464,0.000008123022,0.00000116451,0.00001366176,0.00001668183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9669099,"threshold_uncertainty_score":0.2820623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517521306234783,"score_gpt":0.2481907074759615,"score_spread":0.2330154944136137,"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."}}