{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007661943,0.000534502,0.0004256876,0.0008136402,0.000251291,0.0006149231,0.001006498,0.0005945638,0.00157349],"category_scores_gemma":[0.00271517,0.0002119258,0.0002731169,0.001140067,0.0002425601,0.000732664,0.0003156045,0.0002114069,0.001063141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470633,"about_ca_system_score_gemma":0.0003196312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004176778,"about_ca_topic_score_gemma":0.004140084,"domain_scores_codex":[0.9989725,0.0001376416,0.00003725646,0.0002131728,0.0005220252,0.0001172882],"domain_scores_gemma":[0.9986079,0.0004109654,0.0001480647,0.0001981965,0.0005952712,0.00003963544],"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":[0.00163681,0.000139833,0.1654338,0.0007805133,0.0003207939,0.001044364,0.000823535,0.04238082,0.4570949,0.0007850877,0.001020922,0.3285385],"study_design_scores_gemma":[0.00009655644,0.004090809,0.4409014,0.0001471291,0.0006737811,0.003224063,0.001146047,0.1227128,0.4110855,0.0005015592,0.01520843,0.0002118923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595178,0.0008301783,0.03364297,0.00005574422,0.00005839154,0.00004990251,0.0003391688,0.0006377198,0.004868197],"genre_scores_gemma":[0.9828748,0.0004225475,0.01248793,0.00004225106,0.0000243876,0.00001870579,0.0005322379,0.00009232372,0.003504788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004176778,"threshold_uncertainty_score":0.008304894,"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."}}