{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004446997,0.0004398561,0.0003487894,0.0005278823,0.0005031106,0.0005711226,0.0005104516,0.0005114183,0.001241943],"category_scores_gemma":[0.0004387545,0.0001945915,0.0001890325,0.0003277658,0.0002196156,0.0004699537,0.0002935471,0.0002557944,0.0004067724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665101,"about_ca_system_score_gemma":0.0006128738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494788,"about_ca_topic_score_gemma":0.001508069,"domain_scores_codex":[0.9994554,0.00006980942,0.00002961958,0.0001500593,0.0002365919,0.00005850015],"domain_scores_gemma":[0.9997409,0.00002601486,0.00002751209,0.00002912107,0.0001501524,0.0000263046],"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":[0.0007129684,0.000289877,0.01717671,0.0003356224,0.00007781721,0.0008610397,0.001155038,0.01672053,0.4491827,0.004460909,0.008060698,0.500966],"study_design_scores_gemma":[0.0005063899,0.002121877,0.05429239,0.0000884931,0.0002956377,0.00212835,0.000436211,0.4685142,0.3942686,0.001717427,0.07546354,0.000166852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.351012,0.001138907,0.6190273,0.0006125267,0.0002331799,0.0007057566,0.0002064798,0.01014621,0.01691765],"genre_scores_gemma":[0.9415071,0.0002913848,0.05190367,0.000102663,0.00007900853,0.0001682506,0.0002177384,0.00003459296,0.00569558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003494788,"threshold_uncertainty_score":0.006948888,"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."}}