{"id":"W4408990262","doi":"10.3390/engproc2025088024","title":"Investigation of Static and Kinematic Surveying Performance of Handheld GNSS Receiver","year":2025,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Kinematics; Mobile device; Computer science; Geodesy; Remote sensing; Global Positioning System; Geology; Telecommunications; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008802191,0.00003944372,0.00008653415,0.00005957232,0.00001156611,0.000005193493,0.00003043284,0.00001750325,0.00001519133],"category_scores_gemma":[0.0000215255,0.00003596626,0.000007535864,0.00009521877,0.00003151046,0.00006901693,0.000007667305,0.00003362183,0.000001136723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006377782,"about_ca_system_score_gemma":0.000006673145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003114938,"about_ca_topic_score_gemma":0.000005554748,"domain_scores_codex":[0.9997205,0.0000110753,0.0001454973,0.00003978903,0.00003829753,0.00004482408],"domain_scores_gemma":[0.9998204,0.00005508092,0.00001905087,0.00005958214,0.00003507227,0.00001087884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004161572,0.00003200081,0.4411981,0.01559445,0.0002425472,3.939226e-7,0.00619851,0.06138844,0.4493456,0.008452713,0.003897429,0.01360827],"study_design_scores_gemma":[0.0002180003,0.00006669544,0.2084859,0.001247363,0.00001876021,7.623744e-7,0.0001080309,0.4297771,0.3595268,0.0004636655,0.000005708475,0.00008114363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885799,0.000060486,0.003916485,0.00001491458,0.00004807693,0.0000379364,0.000001257687,0.00002603052,0.007314872],"genre_scores_gemma":[0.9981508,0.00003817971,0.001571093,0.00001062716,0.00000150164,0.000002391148,0.000002263831,0.000002638677,0.0002204595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3683887,"threshold_uncertainty_score":0.1466661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240271792023359,"score_gpt":0.2013948155816995,"score_spread":0.1889920976614659,"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."}}