{"id":"W2522523253","doi":"10.1109/icma.2016.7558530","title":"Realization of drill rectifying control for coal shearer based on an improved PID algorithm","year":2016,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Drill; Deflection (physics); PID controller; Drilling; Servo; Coal mining; Servomotor; Directional drilling; Coal; Engineering; Control theory (sociology); Computer science; Geology; Mining engineering; Mechanical engineering; Control (management); Artificial intelligence; Temperature control; Physics","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":[0.0002803272,0.0005091864,0.0005407584,0.0002600307,0.0003179204,0.0005570902,0.0006417154,0.0005180402,0.001549119],"category_scores_gemma":[0.0003528977,0.0002293547,0.0003308245,0.0001893107,0.0002570729,0.000365903,0.0002667829,0.0004899921,0.0004216346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629794,"about_ca_system_score_gemma":0.0005715317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002763861,"about_ca_topic_score_gemma":0.001651602,"domain_scores_codex":[0.9997751,0.00002260684,0.00001788376,0.00007293105,0.00008250617,0.00002899475],"domain_scores_gemma":[0.9999005,0.00001888761,0.00001345394,0.00001317431,0.00004673183,0.000007325895],"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":[0.000604954,0.0001877589,0.00236741,0.0004781707,0.00006978546,0.0004340237,0.0003795917,0.2568524,0.2404892,0.01499548,0.003418564,0.4797228],"study_design_scores_gemma":[0.00007654022,0.0002124786,0.0007575171,0.00001196487,0.00002074889,0.0001277218,0.00001612706,0.9771215,0.01686954,0.0007825865,0.00398396,0.00001919576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02869039,0.0002447999,0.9643069,0.00008247806,0.0001273453,0.00007250701,0.00002891047,0.001559309,0.004887505],"genre_scores_gemma":[0.8537126,0.0002131597,0.1417347,0.00005689391,0.00004979831,0.0001214542,0.00007173727,0.00002717633,0.004012525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002763861,"threshold_uncertainty_score":0.005495548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204319184204718,"score_gpt":0.2235062833577829,"score_spread":0.2114630915157357,"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."}}