{"id":"W2060617159","doi":"10.4028/www.scientific.net/amr.301-303.1036","title":"Precision Analysis of Gravity Vertical Gradient Measurement Based on CG - 5 Relative Gravimeter","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gravimeter; Geodesy; Altitude (triangle); Accuracy and precision; Geology; Observational error; Error analysis; Remote sensing; Mathematics; Meteorology; Physics; Geophysics; Geometry; Statistics; Applied mathematics","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":[0.001675045,0.0006005336,0.0005053968,0.001451628,0.0004841296,0.0005708723,0.001046185,0.0005859248,0.001003394],"category_scores_gemma":[0.004113085,0.0002906368,0.0004818506,0.001240479,0.0004716253,0.0006503621,0.0008562343,0.0003899288,0.0002867067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007129958,"about_ca_system_score_gemma":0.0004979334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004321564,"about_ca_topic_score_gemma":0.005200023,"domain_scores_codex":[0.9958852,0.0004602702,0.0001486757,0.0006470951,0.002691097,0.0001676587],"domain_scores_gemma":[0.9972168,0.0007214495,0.0003076222,0.0005573879,0.001152583,0.0000440455],"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":[0.001679045,0.0001016941,0.1199149,0.0009390312,0.000365589,0.0003607603,0.0008831942,0.01911902,0.575786,0.003550435,0.002636624,0.2746637],"study_design_scores_gemma":[0.0001368757,0.0007064445,0.1773981,0.0001374721,0.0005774604,0.001006766,0.000362499,0.09821139,0.7079929,0.001588312,0.01163457,0.000247208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6123409,0.00190065,0.3745983,0.0002387619,0.0002112182,0.0001104146,0.0008983628,0.002690847,0.00701039],"genre_scores_gemma":[0.944321,0.0003433582,0.05319922,0.0000688294,0.00003176864,0.00004200328,0.0006275574,0.0001257476,0.001240546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004321564,"threshold_uncertainty_score":0.008858562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471202822698801,"score_gpt":0.3273493806044281,"score_spread":0.180229098334548,"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."}}