{"id":"W4236386710","doi":"10.1139/tcsme-2013-0045","title":"FORCE AND POSITION CONTROL OF THE PNEUMATIC CYLINDERS THROUGH A MICROSCOPE WITH A CCD CAMERA","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Position (finance); Interface (matter); Servomechanism; Servo; Controller (irrigation); Microscope; Computer science; Pneumatic cylinder; Control theory (sociology); Servo control; Control system; Position error; Computer vision; Control engineering; Artificial intelligence; Engineering; Mechanical engineering; Control (management); Optics; Physics; Cylinder; Calibration; Electrical engineering","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":[0.0002436969,0.0002861908,0.0002782378,0.0003298472,0.000324327,0.0003441003,0.000716344,0.0003972319,0.001721885],"category_scores_gemma":[0.0004412043,0.0002198756,0.0001677917,0.0002483194,0.0002924719,0.0003897489,0.0003704738,0.0002900391,0.0003525045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005012261,"about_ca_system_score_gemma":0.0008295912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581487,"about_ca_topic_score_gemma":0.004583311,"domain_scores_codex":[0.9996144,0.000020153,0.00001422066,0.00008384074,0.0002433334,0.00002404988],"domain_scores_gemma":[0.9997798,0.00003847141,0.00003056218,0.00002564705,0.00009731045,0.00002835254],"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":[0.0001150438,0.00002598615,0.0005055311,0.000119506,0.000008286385,0.00009170972,0.00009155775,0.0008734494,0.9376789,0.001047467,0.0007439182,0.0586986],"study_design_scores_gemma":[0.0001553742,0.0005701612,0.01782805,0.0000489986,0.00005528513,0.001200411,0.00009606589,0.07593402,0.8728868,0.000696035,0.03042398,0.0001049432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2759683,0.001827076,0.6993263,0.0004863599,0.0002777363,0.0003583468,0.0003026252,0.002349483,0.01910391],"genre_scores_gemma":[0.6473569,0.0007201061,0.3411983,0.0001879419,0.00007597873,0.0002104896,0.0001560052,0.00006306792,0.01003121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003581487,"threshold_uncertainty_score":0.007121325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004875122268865812,"score_gpt":0.172679038274789,"score_spread":0.1678039160059232,"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."}}