{"id":"W4408235721","doi":"10.23919/nrsm68586.2026.11550881","title":"Development of Next Generation Very Large Array Tropospheric Calibration","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Remote sensing; Troposphere; Computer science; Environmental science; Geology; Climatology; Mathematics; Statistics","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":[0.004549904,0.0006291512,0.000434039,0.001098781,0.0008187891,0.001807949,0.00182427,0.001236307,0.00789213],"category_scores_gemma":[0.00486509,0.0005080173,0.0005029847,0.0008792162,0.0004139411,0.002863962,0.001749423,0.001514742,0.004602349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203406,"about_ca_system_score_gemma":0.002071174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088147,"about_ca_topic_score_gemma":0.005483405,"domain_scores_codex":[0.9984159,0.0003723266,0.00003869774,0.0002501319,0.0007906503,0.000132288],"domain_scores_gemma":[0.9968359,0.0003020821,0.0001525951,0.0005592658,0.001983868,0.000166335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003582868,0.0002808189,0.03156547,0.0002702734,0.0001885624,0.0002072545,0.0003526597,0.09342674,0.1132553,0.05665972,0.03248242,0.6709526],"study_design_scores_gemma":[0.0001843469,0.0008419369,0.02388048,0.0002600122,0.0001144613,0.0005874715,0.0003076305,0.5339526,0.1194973,0.02643784,0.2936036,0.0003323178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03009279,0.001163507,0.9090963,0.001963985,0.00078404,0.0003498244,0.001867226,0.006218534,0.04846369],"genre_scores_gemma":[0.2421792,0.0005252821,0.7401882,0.001072082,0.0001804136,0.0003992259,0.004452394,0.00063295,0.01037029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00789213,"threshold_uncertainty_score":0.02640182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584567166748368,"score_gpt":0.2201185373750865,"score_spread":0.1842728657076029,"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."}}