{"id":"W4297916267","doi":"10.48550/arxiv.2109.05044","title":"Evaluating and Enhancing Candidate Clocking Systems for CHIME/FRB VLBI\\n Outriggers","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Very-long-baseline interferometry; Outrigger; Hydrogen maser; Maser; Computer science; Physics; Geodesy; Astronomy; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002886117,0.0002993444,0.0003871672,0.0001610505,0.0001807196,0.0002159225,0.0002408703,0.0002433261,0.000009688431],"category_scores_gemma":[0.00005605571,0.0003787985,0.000126149,0.0001487405,0.00003940982,0.0001541498,0.0002328041,0.0004487433,0.00000536981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252346,"about_ca_system_score_gemma":0.00008188529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000310152,"about_ca_topic_score_gemma":0.00006262924,"domain_scores_codex":[0.998678,0.00006554363,0.0002411527,0.0006068933,0.00006617948,0.0003422698],"domain_scores_gemma":[0.9991074,0.0001340353,0.0001122882,0.0003798912,0.0001489016,0.000117452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001554246,0.00001133208,0.0005211185,0.0009501611,0.0002070348,0.00002417416,0.0005875327,0.9940236,0.001953121,0.001333782,0.0000708849,0.0003017329],"study_design_scores_gemma":[0.0004056464,0.00004578839,0.0001718058,0.001417435,0.0002029268,0.000008829575,0.0007530155,0.993891,0.002268012,0.0002955391,0.00007968846,0.000460317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688233,0.001191309,0.1268587,0.000005155825,0.001116311,0.0003312425,0.00003288431,0.0002602485,0.001380783],"genre_scores_gemma":[0.998455,0.0004710696,0.0004244975,0.000009013133,0.0001301406,0.000006244609,0.00006785049,0.00004677381,0.0003893778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296317,"threshold_uncertainty_score":0.9998664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08148393278877741,"score_gpt":0.2171532481961366,"score_spread":0.1356693154073592,"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."}}