{"id":"W3093781453","doi":"10.23919/ursigass49373.2020.9232233","title":"Offline and online reconstruction for radio interferometric imaging","year":2020,"lang":"en","type":"article","venue":"","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Interferometry; Radio telescope; Computer science; Focus (optics); Big data; Inverse problem; Remote sensing; Radio astronomy; Raw data; Iterative reconstruction; Astronomy; Physics; Computer vision; Optics; Data mining; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002594082,0.00006883737,0.0001086958,0.00007463517,0.00005439365,0.0000210128,0.00005580766,0.00001292311,0.0001915138],"category_scores_gemma":[0.000007415187,0.00006439873,0.00003355649,0.000198756,0.00003571767,0.0001072592,0.00002367045,0.00006206548,0.000003154973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006025405,"about_ca_system_score_gemma":0.00001057706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002114619,"about_ca_topic_score_gemma":8.444764e-7,"domain_scores_codex":[0.9995809,0.000004101097,0.0001343513,0.0001575102,0.0000198737,0.0001032839],"domain_scores_gemma":[0.9997916,0.0000261626,0.00004204634,0.00006513162,0.00002985391,0.00004517912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007536075,0.00002502137,0.2248865,0.000005115769,0.00002507084,7.051202e-8,0.00002354041,0.000008512843,0.0005513129,0.01737118,0.0006752062,0.7564209],"study_design_scores_gemma":[0.01057574,0.001035522,0.1399439,0.000063022,0.000270651,0.00003243748,0.007713567,0.5952228,0.0173842,0.03204122,0.1940987,0.001618239],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5806282,0.00004243058,0.4139586,0.004242577,0.00006145002,0.0001498335,0.0000341456,0.00006064507,0.0008220878],"genre_scores_gemma":[0.9537441,0.000001273149,0.04577212,0.000106042,0.0002170713,0.00001394651,0.00004347081,0.000007697939,0.00009428819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7548026,"threshold_uncertainty_score":0.2626104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852514682565838,"score_gpt":0.2320807397122761,"score_spread":0.2135555928866177,"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."}}