{"id":"W2353867989","doi":"","title":"A System of Measuring Displacement Based on MPU and PLL Technology","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Grating; Displacement (psychology); Machining; Lock (firearm); Accuracy and precision; System of measurement; Computer hardware; Phase-locked loop; Optics; Mechanical engineering; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006059037,0.00009327391,0.0001201102,0.0001860969,0.00003844849,0.000004761187,0.00008779795,0.00005977334,8.955859e-7],"category_scores_gemma":[1.34414e-7,0.00009516086,0.00002067787,0.0001546851,0.00003359689,0.00001811504,0.00001732572,0.00006806845,0.000003062997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005429636,"about_ca_system_score_gemma":0.00000429445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002270483,"about_ca_topic_score_gemma":0.000002016359,"domain_scores_codex":[0.9995279,0.000005091273,0.0001581753,0.0001340572,0.00005645858,0.000118337],"domain_scores_gemma":[0.999745,0.00001467654,0.0000297532,0.0001635817,0.00003001208,0.00001695191],"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":[0.00001564339,0.0002454981,0.01029178,0.0007609673,0.00006300338,0.000002019048,0.00003441122,0.04993167,0.7968256,0.03626987,0.001505754,0.1040538],"study_design_scores_gemma":[0.00107306,0.00009622015,0.003470349,0.0001936301,0.00005358246,0.00001192616,0.0000263598,0.05494159,0.7613359,0.001399918,0.1769947,0.0004027926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01729972,0.0002330794,0.97964,0.00004836421,0.000007789369,0.0004098567,0.000005141495,0.0005578702,0.001798184],"genre_scores_gemma":[0.8588247,0.000003852079,0.140744,0.00001275968,0.00002879839,0.0003562508,0.000006392333,0.00001327634,0.000009883414],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.841525,"threshold_uncertainty_score":0.3880547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004927671241671613,"score_gpt":0.1871737226176673,"score_spread":0.1822460513759957,"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."}}