{"id":"W1989350807","doi":"10.5539/mas.v1n4p69","title":"Design of Alternating Impact Machine with High Temperature and Pressure Resistance","year":2007,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Siemens; Programmable logic controller; Work (physics); Temperature control; Control system; Computer science; Machine control; Natural rubber; Automotive engineering; Hydraulic machinery; Controller (irrigation); Mechanical engineering; Control logic; Materials science; Environmental science; Control engineering; Engineering; Composite material; Electrical engineering; Computer hardware","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":[0.0004399392,0.0005279797,0.0005758672,0.000592726,0.0004249245,0.0005449408,0.001257124,0.0005385566,0.002828616],"category_scores_gemma":[0.0004415691,0.0003813201,0.0003028336,0.0002947013,0.0003846122,0.0005108063,0.0003685731,0.0002850838,0.000799277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235796,"about_ca_system_score_gemma":0.0004742976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004064357,"about_ca_topic_score_gemma":0.0002748275,"domain_scores_codex":[0.9992695,0.00007641101,0.00004425959,0.0002137346,0.0003342299,0.00006179366],"domain_scores_gemma":[0.9996585,0.000044826,0.00005826875,0.00005068375,0.0001465776,0.00004117704],"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":[0.0008703034,0.0002323062,0.003628471,0.0008682929,0.00008675989,0.00056034,0.000445503,0.03366352,0.6154634,0.02096255,0.005039311,0.3181792],"study_design_scores_gemma":[0.0007739491,0.005960178,0.01448985,0.00009695742,0.0003206607,0.003795716,0.0001336026,0.5734193,0.2945168,0.005835059,0.1003821,0.0002757885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06798113,0.0004015459,0.9162819,0.0001514204,0.0001474739,0.0004152016,0.00007270484,0.002540056,0.0120085],"genre_scores_gemma":[0.7746834,0.0002469969,0.2163827,0.00008224563,0.0001129116,0.0003738131,0.0001269476,0.00008011379,0.007910836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002828616,"threshold_uncertainty_score":0.009462714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007101764170832546,"score_gpt":0.2067031133084353,"score_spread":0.1996013491376028,"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."}}