{"id":"W2184799871","doi":"","title":"Ship GPS Multipath Detection Experiments","year":2003,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multipath propagation; Pseudorange; Global Positioning System; Computer science; Differential GPS; Residual; Remote sensing; Telecommunications; Algorithm; Geography; GNSS applications; Channel (broadcasting)","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":[0.0004148726,0.0007073656,0.0005034606,0.0005506198,0.0004043161,0.0002850403,0.0007279019,0.0007126887,0.001820638],"category_scores_gemma":[0.001035322,0.0002140234,0.0003317818,0.0009725342,0.0002623058,0.0002936401,0.0006244229,0.0006977508,0.0004934942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241359,"about_ca_system_score_gemma":0.0004696088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006192497,"about_ca_topic_score_gemma":0.00513897,"domain_scores_codex":[0.9994018,0.00005090142,0.00002088066,0.0001302157,0.0002527043,0.0001435577],"domain_scores_gemma":[0.9992804,0.0001541086,0.00008701326,0.0001272766,0.0002736152,0.00007760242],"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":[0.002212642,0.0008678831,0.01212035,0.000306541,0.0001571306,0.0007590035,0.0006025105,0.05070139,0.8796765,0.001206912,0.001421272,0.04996786],"study_design_scores_gemma":[0.000480684,0.009669156,0.04184934,0.00003336178,0.0002085677,0.0005237383,0.0003156926,0.1089543,0.8279967,0.0007123907,0.009131332,0.0001247985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725296,0.00007520129,0.02366711,0.00004264335,0.00004291163,0.0001610627,0.0007704428,0.0004849291,0.002226048],"genre_scores_gemma":[0.9772216,0.0002500198,0.01685185,0.00006887168,0.00001219082,0.0001277369,0.001110771,0.00007080193,0.004286045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006192497,"threshold_uncertainty_score":0.01231295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964849134219591,"score_gpt":0.228851345098959,"score_spread":0.2092028537567631,"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."}}