{"id":"W2361747711","doi":"","title":"Development and application of monitoring and control system for salad oil automation production line","year":2004,"lang":"en","type":"article","venue":"Zhongguo youzhi","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Manufacturing engineering; Production line; Production (economics); Control (management); Computer science; Production system (computer science); Process engineering; Control system; Process automation system; Line (geometry); Monitoring and control; Oil production; Engineering; Control engineering; Petroleum engineering; Mathematics; Artificial intelligence; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002051336,0.00009171462,0.0001616467,0.00006491508,0.00006687595,0.00002117005,0.00002965035,0.00007391521,1.608736e-7],"category_scores_gemma":[0.00002017692,0.00009096498,0.00001547547,0.0000741098,0.00001086847,0.0001019711,0.000004293694,0.00003930695,0.000002045357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009827525,"about_ca_system_score_gemma":0.00001546898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002346891,"about_ca_topic_score_gemma":0.000004898938,"domain_scores_codex":[0.9993759,0.00000889126,0.0002981238,0.0001210511,0.00009515772,0.0001008884],"domain_scores_gemma":[0.999727,0.00001503924,0.00008018313,0.00008136412,0.00006267389,0.0000337148],"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":[0.0000697749,0.00004442872,0.001595097,0.002601519,0.000172848,5.600364e-7,0.002847765,0.0590548,0.4371829,0.003890803,0.00001421569,0.4925253],"study_design_scores_gemma":[0.01180391,0.0001369228,0.02751951,0.001249957,0.0001753507,0.00005753648,0.002089262,0.2594821,0.6897386,0.0001164642,0.006826365,0.0008039726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046838,0.0002811345,0.0933755,0.00007326077,0.0005798828,0.0004950152,0.00000614686,0.0003787064,0.0001265746],"genre_scores_gemma":[0.9964615,0.000005353485,0.002974358,0.000001300914,0.0002908028,0.0002181111,0.000008040475,0.00001499793,0.00002554272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917213,"threshold_uncertainty_score":0.3709444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028529929676249,"score_gpt":0.2081319359718589,"score_spread":0.1978466366750964,"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."}}