{"id":"W624012900","doi":"","title":"Modernizing the Brazilian Active Control Network","year":2006,"lang":"en","type":"article","venue":"Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Global Positioning System; Geodetic datum; Computer science; Precise Point Positioning; Frame (networking); Service (business); Control network; Real Time Kinematic; Telecommunications; Real-time computing; Control (management); Geography; Geodesy; Artificial intelligence","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":[0.002006275,0.0007012446,0.0002674958,0.00212032,0.001106196,0.002644301,0.001182886,0.0007811747,0.00588749],"category_scores_gemma":[0.004875522,0.000192915,0.0002420782,0.001827087,0.0008917128,0.001754897,0.001786884,0.0008296758,0.001347878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003134429,"about_ca_system_score_gemma":0.003492671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04803553,"about_ca_topic_score_gemma":0.02862483,"domain_scores_codex":[0.9981962,0.000300282,0.0001123632,0.0002830606,0.0008861099,0.0002220548],"domain_scores_gemma":[0.9969524,0.0003371035,0.0002133851,0.0004549029,0.0018114,0.0002307841],"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":[0.0001115746,0.00008411722,0.007667562,0.0004172098,0.00002946775,0.0002754381,0.001621114,0.009557741,0.007966087,0.2111698,0.04297931,0.7181205],"study_design_scores_gemma":[0.00002322009,0.00008770245,0.005871198,0.0003451244,0.00003305804,0.0002272326,0.0004480651,0.01977292,0.002672158,0.01880604,0.9516727,0.00004064161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1056937,0.02337927,0.3216255,0.02039723,0.002919311,0.0009250636,0.002320047,0.005624306,0.5171155],"genre_scores_gemma":[0.8635466,0.01027372,0.05467983,0.001544001,0.0013282,0.0004829911,0.002290275,0.000370651,0.06548388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04803553,"threshold_uncertainty_score":0.09551185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006978768788683522,"score_gpt":0.1805803684849213,"score_spread":0.1736015996962377,"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."}}