{"id":"W2389604001","doi":"10.23977/jemm.2023.080407","title":"Design of Elevator Control System Based on PLC","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Elevator Systems and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elevator; Reliability (semiconductor); Control system; Computer science; Control engineering; Extensibility; Acceleration; Control (management); Engineering; Artificial intelligence; Operating system","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":[0.000216719,0.0004974972,0.0004813757,0.0003896832,0.0008314794,0.0009410672,0.0006988791,0.0005813185,0.004579871],"category_scores_gemma":[0.0003212546,0.0002781375,0.0004583627,0.0002606709,0.0003517235,0.0006291908,0.0005059053,0.0003885242,0.000965686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003769071,"about_ca_system_score_gemma":0.0006592526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216562,"about_ca_topic_score_gemma":0.001724521,"domain_scores_codex":[0.9994617,0.00007396696,0.00003312762,0.0001663374,0.0002026031,0.00006229641],"domain_scores_gemma":[0.9998447,0.0000213128,0.00002030455,0.00001481028,0.00008741674,0.00001155701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007850266,0.0002232515,0.006142193,0.001418921,0.000244477,0.002632035,0.001463419,0.2785386,0.2887017,0.04274246,0.01255097,0.364557],"study_design_scores_gemma":[0.0002536697,0.001012782,0.003025172,0.0001155766,0.0001905285,0.001423774,0.0002206673,0.8814385,0.05369845,0.0049739,0.05352601,0.0001209997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02949341,0.0005812166,0.9325868,0.000399548,0.0002416002,0.000321234,0.0000963606,0.00410208,0.03217768],"genre_scores_gemma":[0.9188534,0.0005081482,0.06644529,0.0001791815,0.0001201008,0.0004580326,0.0001393494,0.00008257884,0.01321393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004579871,"threshold_uncertainty_score":0.0153212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00631123633348187,"score_gpt":0.1761013866515485,"score_spread":0.1697901503180666,"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."}}