{"id":"W4366123597","doi":"10.1080/00396265.2023.2192850","title":"Performance investigation of GLONASS in the static PPP technique with independent short measurement times using online processing services","year":2023,"lang":"en","type":"article","venue":"Survey Review","topic":"GNSS positioning and interference","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GLONASS; GNSS applications; Precise Point Positioning; Global Positioning System; Computer science; Geodesy; Satellite; Remote sensing; Real Time Kinematic; Orbit (dynamics); Real-time computing; Geography; Telecommunications; Engineering","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":[0.001756616,0.001024852,0.0008053903,0.0008964523,0.0004473336,0.0008009719,0.001226974,0.0009589082,0.001158335],"category_scores_gemma":[0.004315786,0.000288971,0.000449744,0.001050838,0.000402766,0.001022834,0.0007704624,0.0006171142,0.0009991551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079296,"about_ca_system_score_gemma":0.0005932116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005791976,"about_ca_topic_score_gemma":0.004793443,"domain_scores_codex":[0.997712,0.0003061167,0.0001126886,0.0004969061,0.001129448,0.0002429378],"domain_scores_gemma":[0.9981285,0.0004536319,0.000185861,0.0002586795,0.0008629661,0.000110385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004156807,0.0008023928,0.04766973,0.001086893,0.0003737278,0.0009281513,0.001520925,0.07166538,0.4719421,0.001280515,0.00344451,0.3951288],"study_design_scores_gemma":[0.0003014639,0.00700683,0.09664285,0.000103257,0.0003637653,0.00111965,0.001430773,0.4811111,0.3983001,0.0007283289,0.01260586,0.0002859167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343432,0.0008956312,0.05753182,0.0002047909,0.0001890305,0.00009113578,0.000348377,0.002257331,0.004138715],"genre_scores_gemma":[0.9639062,0.0003142481,0.03345825,0.000107746,0.00002792533,0.00005289744,0.0004827603,0.0001309442,0.001519039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005791976,"threshold_uncertainty_score":0.01151651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0922550902130907,"score_gpt":0.2910396577348951,"score_spread":0.1987845675218044,"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."}}