{"id":"W1974893857","doi":"10.1007/s00190-004-0400-7","title":"Local datum definition and geodetic network positioning using global navigation satellite systems","year":2004,"lang":"en","type":"article","venue":"Journal of Geodesy","topic":"GNSS positioning and interference","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geodetic datum; GNSS applications; Global Positioning System; Geodesy; Computer science; Ambiguity resolution; Deformation monitoring; Satellite; Satellite system; Position (finance); Geography; Telecommunications; Engineering; Deformation (meteorology); Aerospace engineering; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762624,0.0001027358,0.000155116,0.00003944897,0.0000948937,0.0001242536,0.00007727813,0.00006859092,0.000001844954],"category_scores_gemma":[0.000009926153,0.0001026734,0.00004241043,0.000123544,0.00003862951,0.0003088959,0.00001556343,0.0001838399,0.000005260668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707245,"about_ca_system_score_gemma":0.0000282776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000516161,"about_ca_topic_score_gemma":0.000002914815,"domain_scores_codex":[0.9992304,0.00002522155,0.0003380469,0.00007081506,0.0001567219,0.0001787562],"domain_scores_gemma":[0.9996017,0.00001752027,0.0001133492,0.00008286785,0.0001027709,0.00008178167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001558394,0.00001099501,0.0004993273,0.00005681508,0.00003739406,0.00002156915,0.00008693716,0.9932796,0.001378301,0.003674008,0.00004209203,0.0008974058],"study_design_scores_gemma":[0.003846495,0.00106683,0.03597439,0.01605288,0.0005950314,0.02129828,0.001080638,0.8389951,0.003570871,0.07558489,0.0006708163,0.001263767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7050809,0.002885493,0.2904008,0.0000261832,0.0006085607,0.00003667713,0.000004348107,0.00003321279,0.0009238896],"genre_scores_gemma":[0.9930366,0.0001553794,0.006543728,0.00001965357,0.0002228369,6.45126e-7,0.000008575952,0.00001104521,0.000001568993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2879557,"threshold_uncertainty_score":0.4186901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495451663301791,"score_gpt":0.2230663903868199,"score_spread":0.208111873753802,"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."}}