{"id":"W12466108","doi":"10.1007/978-3-540-85426-5_71","title":"Current State of Precise Point Positioning and Future Prospects and Limitations","year":2008,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"GNSS positioning and interference","field":"Engineering","cited_by":243,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Commission; Geodetic datum; Precise Point Positioning; Point (geometry); State (computer science); Computer science; Systems engineering; Telecommunications; Operations research; Engineering; Geography; Political science; Global Positioning System; Cartography; Mathematics; GNSS applications; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01152358,0.0008007781,0.001243218,0.002430152,0.0006112456,0.004865461,0.004060462,0.002286008,0.01602315],"category_scores_gemma":[0.01060367,0.0006547974,0.0005096282,0.005619645,0.002560095,0.01073283,0.002651701,0.001839091,0.007799841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249988,"about_ca_system_score_gemma":0.002852705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003914203,"about_ca_topic_score_gemma":0.004418773,"domain_scores_codex":[0.9976122,0.0005994479,0.000180251,0.00031698,0.001151944,0.0001391264],"domain_scores_gemma":[0.9893157,0.00542009,0.0003900052,0.0009535874,0.003585111,0.0003354727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236475,0.000024496,0.00190808,0.001799674,0.00002724685,0.00003554093,0.0003172943,0.004558555,0.001108932,0.04031316,0.01631261,0.9334707],"study_design_scores_gemma":[0.00003374142,0.0003812657,0.005351935,0.002939355,0.0001556537,0.0008650305,0.001706554,0.01250578,0.003763273,0.1041635,0.8679812,0.000152615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01437853,0.6488323,0.2006576,0.03064768,0.00548495,0.00007488595,0.001509286,0.001890601,0.09652414],"genre_scores_gemma":[0.1432613,0.6587456,0.1414799,0.003899727,0.005296457,0.0001346345,0.002875772,0.0004562782,0.04385035],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01602315,"threshold_uncertainty_score":0.06094319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008565432714732472,"score_gpt":0.205125420671932,"score_spread":0.1965599879571996,"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."}}