{"id":"W2337870539","doi":"10.1093/mnras/stw823","title":"The 154 MHz radio sky observed by the Murchison Widefield Array: noise, confusion, and first source count analyses","year":2016,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Air Force Office of Scientific Research; Australian Research Council; Commonwealth Scientific and Industrial Research Organisation; Smithsonian Astrophysical Observatory; U.S. Air Force; National Science Foundation","keywords":"Physics; Source counts; Astrophysics; Sky; Optics; Noise (video); Confusion; Deconvolution; Flux (metallurgy); Galaxy; Redshift; Image (mathematics)","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":[0.0003116588,0.0002628161,0.0003282156,0.000008979513,0.0009167918,0.0001023852,0.0008736883,0.00009636003,0.00008929987],"category_scores_gemma":[0.0000263462,0.0001167727,0.0004113805,0.0001023525,0.000857942,0.0001017431,0.0002742299,0.0002915749,0.000006206472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005924199,"about_ca_system_score_gemma":0.00004956566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371388,"about_ca_topic_score_gemma":0.00008799854,"domain_scores_codex":[0.9985142,0.00008894593,0.0004461704,0.0003435556,0.0001798353,0.0004272407],"domain_scores_gemma":[0.9980312,0.0007767147,0.0003874761,0.0006665497,0.00005642144,0.00008166209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001002197,0.000280655,0.847305,0.0000166447,0.001101113,3.148997e-8,0.0006500686,0.08561076,0.001618052,0.002352484,0.02813689,0.03282806],"study_design_scores_gemma":[0.003106601,0.0002649832,0.5491798,0.0001374381,0.0005788489,7.136656e-8,0.004114339,0.1023844,0.01104377,0.000724089,0.3276502,0.0008155628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832172,0.0003731756,0.003571855,0.01194048,0.0001475411,0.0003251504,0.0001054937,0.00002977373,0.0002893515],"genre_scores_gemma":[0.9976466,0.000001484146,0.0009190227,0.00006506051,0.0001803457,0.00005178574,0.000008623932,0.00002180057,0.001105246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2995133,"threshold_uncertainty_score":0.7051315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428926144859776,"score_gpt":0.2150646235503306,"score_spread":0.2007753621017328,"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."}}