{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638691,0.0006904464,0.0004852703,0.001400179,0.0007755762,0.001375173,0.001102414,0.0009462093,0.001439995],"category_scores_gemma":[0.004751338,0.0002715279,0.0003066761,0.001265849,0.0004888009,0.0007498529,0.0008524672,0.0003934304,0.0007881307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648837,"about_ca_system_score_gemma":0.001754346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02911545,"about_ca_topic_score_gemma":0.0740509,"domain_scores_codex":[0.9989974,0.0001483472,0.00003337272,0.0002407077,0.0003334745,0.000246719],"domain_scores_gemma":[0.9987577,0.0002296843,0.0001841543,0.0001768574,0.0005371319,0.0001144238],"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":[0.001946805,0.0003298615,0.1011851,0.0003922741,0.0001937904,0.0002464713,0.0009012448,0.1839048,0.1874109,0.004867014,0.003456594,0.5151652],"study_design_scores_gemma":[0.0003338896,0.0009917683,0.0894412,0.00007838044,0.0002213105,0.0001765275,0.0007975926,0.6739673,0.2172002,0.0008231966,0.01587673,0.00009206207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8148047,0.000524306,0.1733749,0.0002064366,0.0001041982,0.0003238802,0.0005145521,0.003416688,0.0067304],"genre_scores_gemma":[0.7751778,0.0001580271,0.2211745,0.00005033322,0.00002169002,0.00008159166,0.0009452851,0.0002750485,0.002115694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02911545,"threshold_uncertainty_score":0.05789196,"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."}}