{"id":"W1569119709","doi":"10.1109/ccdc.2015.7161755","title":"PLC controller for hydraulic pressing machine","year":2015,"lang":"en","type":"article","venue":"","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pressing; Programmable logic controller; Hydraulic machinery; Control system; Controller (irrigation); Computer science; Work (physics); Machine control; Control engineering; Brick; Engineering; Mechanical engineering; Electrical engineering; Operating system","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":[0.0002236101,0.0005187327,0.0004247894,0.0005294462,0.0005483483,0.001019926,0.001205449,0.000541874,0.02233644],"category_scores_gemma":[0.0005932053,0.0001548663,0.0001585532,0.0003207802,0.0002902001,0.0005244543,0.0003339416,0.0007146131,0.006323838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713266,"about_ca_system_score_gemma":0.0005138587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009923436,"about_ca_topic_score_gemma":0.0006917235,"domain_scores_codex":[0.9995133,0.0000406089,0.00002593527,0.0001373442,0.0002355012,0.00004738443],"domain_scores_gemma":[0.9996762,0.00006032818,0.0000423304,0.00005186686,0.0001510091,0.00001829718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001400454,0.00045441,0.002533263,0.0018243,0.00007573666,0.001610151,0.0006564755,0.0289878,0.3678245,0.02192387,0.07946832,0.4932407],"study_design_scores_gemma":[0.0007072825,0.001730893,0.005441247,0.0002144887,0.0001466259,0.003284701,0.0001399058,0.2508122,0.4456779,0.00645912,0.2851668,0.0002187916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06836218,0.00171347,0.7418155,0.0008047904,0.0009495902,0.0009055649,0.00156619,0.07246207,0.1114205],"genre_scores_gemma":[0.9102797,0.0003942231,0.04039746,0.0005192385,0.0002394923,0.000587564,0.0007902897,0.0004852679,0.04630679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02233644,"threshold_uncertainty_score":0.07472289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035903970754463,"score_gpt":0.2341241824255611,"score_spread":0.1982202116710981,"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."}}