{"id":"W2117442051","doi":"10.1017/s0373463313000210","title":"Usability of the GPS Precise Point Positioning Technique in Marine Applications","year":2013,"lang":"en","type":"article","venue":"Journal of Navigation","topic":"GNSS positioning and interference","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Real Time Kinematic; Precise Point Positioning; Differential GPS; Geodetic datum; Computer science; Real-time computing; Usability; Precision Lightweight GPS Receiver; Remote sensing; Geodesy; Assisted GPS; Geography; Telecommunications; Gps receiver; GNSS applications","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":[],"consensus_categories":[],"category_scores_codex":[0.0001988541,0.0000437153,0.00008137527,0.00004875454,0.00002222491,0.00001508291,0.000105715,0.00003580327,0.00003112082],"category_scores_gemma":[0.00002349304,0.00003320975,0.00004383272,0.0001596952,0.00002300496,0.0002119915,0.00001502302,0.0001892332,0.000003395064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008661176,"about_ca_system_score_gemma":0.00001257355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003220865,"about_ca_topic_score_gemma":0.000002186163,"domain_scores_codex":[0.9994507,0.00002747553,0.0003344739,0.00003568642,0.00009775182,0.00005390846],"domain_scores_gemma":[0.9995735,0.00003386552,0.0001226707,0.0001027889,0.0001478677,0.00001934586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001498892,0.0002109634,0.04349186,0.000206013,0.00003266678,6.377457e-7,0.0008857264,0.04510203,0.8785111,0.001561313,0.0005637617,0.02941892],"study_design_scores_gemma":[0.0003489976,0.0001146029,0.4332343,0.0009727267,0.00002251113,0.0001343106,0.0001428849,0.01003517,0.5201148,0.03464366,0.0001001425,0.0001358172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626411,0.00002657298,0.03496372,0.0001653355,0.00006507627,0.0002545752,0.00000148469,0.00001314424,0.001869052],"genre_scores_gemma":[0.9953017,0.000006161793,0.004601305,0.000005897787,0.00002916842,0.00003973153,0.000002016926,0.000004699657,0.00000938368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3897425,"threshold_uncertainty_score":0.1354254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005447345248006314,"score_gpt":0.2179556262309699,"score_spread":0.2125082809829636,"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."}}