{"id":"W4362558190","doi":"10.3390/rs15071925","title":"A Data Quality Assessment Approach for High-Precision GNSS Continuously Operating Reference Stations (CORS) with Case Studies in Hong Kong and Canada/USA","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"GNSS positioning and interference","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"GNSS applications; Computer science; Precise Point Positioning; Global Positioning System; Real-time computing; Satellite system; Geodetic datum; Remote sensing; Telecommunications; Geodesy; Geography","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":[0.004943011,0.0006288131,0.0004668874,0.004014455,0.001455963,0.002999146,0.001310772,0.0006931337,0.001402344],"category_scores_gemma":[0.006241052,0.0002752106,0.0008830538,0.006950832,0.0009277262,0.001586945,0.001061883,0.0006064886,0.0001901356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01291491,"about_ca_system_score_gemma":0.007540758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5736238,"about_ca_topic_score_gemma":0.4825512,"domain_scores_codex":[0.9973503,0.0005923805,0.0001744762,0.0002909573,0.001211268,0.0003805453],"domain_scores_gemma":[0.9912655,0.001181789,0.0006814669,0.000440274,0.006154407,0.0002765755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004364814,0.0006207717,0.4795928,0.0008159886,0.0003306732,0.003625214,0.004371033,0.2195334,0.004922905,0.03682407,0.01027248,0.2386542],"study_design_scores_gemma":[0.00007033689,0.0007249595,0.4157114,0.0003914589,0.000432959,0.001107323,0.02421575,0.5102421,0.008422857,0.005060184,0.03344809,0.0001726026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8098678,0.002170273,0.1439089,0.001293336,0.00007278081,0.001363254,0.002894765,0.0004111181,0.03801779],"genre_scores_gemma":[0.9559275,0.0009008116,0.03680757,0.00006096018,0.00001045585,0.0001584104,0.001357062,0.00003514253,0.004742186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4263762,"threshold_uncertainty_score":0.8577745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1647183590998754,"score_gpt":0.3701182489001485,"score_spread":0.2053998898002731,"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."}}