{"id":"W2902029356","doi":"10.1139/tcsme-2017-514","title":"COMPARATIVE SURVEY OF VARIOUS STATIC AND DYNAMIC MODELS OF PNEUMATIC ARTIFICIAL MUSCLES","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pneumatic artificial muscles; Artificial muscle; Actuator; Control theory (sociology); Statics; Force dynamics; Computer science; Engineering; Physics; Mechanical engineering; Classical mechanics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005072975,0.0008086074,0.0007371567,0.001487106,0.0003048152,0.0008282532,0.001612281,0.0009098086,0.002463724],"category_scores_gemma":[0.0009107839,0.0004182451,0.001392838,0.001511773,0.0003775764,0.001240839,0.0003757449,0.0004840954,0.000694234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004138671,"about_ca_system_score_gemma":0.0005563526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585266,"about_ca_topic_score_gemma":0.001614021,"domain_scores_codex":[0.9996054,0.00005878012,0.00004789521,0.00006777006,0.0001977879,0.00002239107],"domain_scores_gemma":[0.9996601,0.0001494676,0.00004283604,0.00003781814,0.0000973299,0.00001241633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000158837,0.0001349723,0.002774709,0.003502085,0.0001607167,0.0004277539,0.0002056651,0.3612118,0.01438907,0.06186447,0.005867043,0.5493028],"study_design_scores_gemma":[0.00001581208,0.0003659494,0.003482992,0.0005148899,0.0001403131,0.001207697,0.0001140661,0.8571868,0.006521089,0.01969539,0.1106554,0.00009962732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0357675,0.1190644,0.7936708,0.0007350625,0.0003803941,0.0001083195,0.0006705253,0.0008926088,0.04871037],"genre_scores_gemma":[0.5420956,0.2050073,0.2191295,0.0003778571,0.0006581422,0.0003411201,0.002409688,0.0002899082,0.02969088],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002585266,"threshold_uncertainty_score":0.008242011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053030890109593,"score_gpt":0.2447601992520744,"score_spread":0.2142298903509785,"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."}}