{"id":"W4407026894","doi":"10.2991/978-94-6463-644-4_17","title":"PPP Potential of a Compact, Low-Cost GNSS Receiver’s Module in a Low Latitude Region: A Case Study at the Lautech GNSS Laboratory, Nigeria","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in physics research/Advances in Physics Research","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Texas Emerging Technology Fund","keywords":"GNSS applications; Latitude; Galileo (satellite navigation); Remote sensing; Geodesy; Global Positioning System; Geography; Computer science; Telecommunications","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0026111,0.0008408447,0.001366261,0.001162481,0.0004788102,0.0002119677,0.002023181,0.0003887702,0.00004027979],"category_scores_gemma":[0.0002305325,0.000806026,0.0002232185,0.002816082,0.001778583,0.001545752,0.001098798,0.005937486,0.00006391979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016967,"about_ca_system_score_gemma":0.0005740398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005468178,"about_ca_topic_score_gemma":0.006041901,"domain_scores_codex":[0.9916124,0.001068446,0.001297505,0.001435744,0.002789635,0.001796286],"domain_scores_gemma":[0.9941431,0.001945755,0.000244269,0.002006944,0.001447824,0.0002120941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001148049,0.002873697,0.002436343,0.004948641,0.0003638592,0.007244048,0.006858019,0.6917996,0.0007632447,0.03199603,0.002353849,0.2472146],"study_design_scores_gemma":[0.01360665,0.003131344,0.0005375444,0.04127026,0.0001084324,0.0002524475,0.01359218,0.2357833,0.01816073,0.6117879,0.05558215,0.0061871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.129216,0.08163308,0.01409906,0.0005450748,0.004523815,0.02531968,0.003195854,0.0007783987,0.740689],"genre_scores_gemma":[0.9657802,0.02420861,0.0002494613,0.00001530115,0.0006402638,0.0007634121,0.0001231648,0.0002245375,0.007995022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8365642,"threshold_uncertainty_score":0.9994391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04894395795052681,"score_gpt":0.3844219676989433,"score_spread":0.3354780097484165,"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."}}