{"id":"W4200589571","doi":"10.18280/jesa.540608","title":"Design and Development of Low-Level Automation for the Picking and Placing of the Object Using Pneumatic Suction","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pneumatic cylinder; Pneumatics; Pneumatic actuator; Pneumatic flow control; Compressed air; Automation; Factory (object-oriented programming); Relay; Air compressor; Automotive engineering; Suction; Valve actuator; Suction cup; Engineering; Actuator; Mechanical engineering; Computer science; Power (physics); Electrical engineering; Cylinder","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":[0.0004297991,0.0005234326,0.0005566091,0.0004585622,0.0002975091,0.000785514,0.001615068,0.0006030814,0.003046171],"category_scores_gemma":[0.0004988463,0.0004521033,0.0004721502,0.0002211425,0.0003303007,0.0005458804,0.0005127129,0.0004780554,0.001311808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421427,"about_ca_system_score_gemma":0.0007707466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006311252,"about_ca_topic_score_gemma":0.0005129405,"domain_scores_codex":[0.9992514,0.00005747631,0.00004950026,0.0001430208,0.0004204598,0.00007796647],"domain_scores_gemma":[0.99946,0.00007309443,0.00006828392,0.00008606241,0.0002604038,0.00005203101],"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":[0.0002294239,0.0002028681,0.002066338,0.0009494892,0.00006909556,0.0004142982,0.0002565063,0.01268732,0.7771491,0.006588486,0.003333857,0.1960532],"study_design_scores_gemma":[0.0001756449,0.003452336,0.01345994,0.0001282029,0.0002009479,0.001926653,0.0001032973,0.1875039,0.6788023,0.001532669,0.1125593,0.0001549377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06278777,0.0005066658,0.9182925,0.0002293266,0.0001989689,0.0006144872,0.0001425315,0.007357469,0.00987029],"genre_scores_gemma":[0.6022125,0.0004084938,0.3860514,0.0001570169,0.0000810799,0.0004288087,0.0002846888,0.0002247542,0.01015135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003046171,"threshold_uncertainty_score":0.01019049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045095291296558,"score_gpt":0.2454005222974397,"score_spread":0.1949495693844741,"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."}}