{"id":"W2964427798","doi":"10.1093/mnras/stz2697","title":"The C-Band All-Sky Survey (C-BASS): Simulated parametric fitting in single pixels in total intensity and polarization","year":2019,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Research Council; King Abdulaziz City for Science and Technology; Fundação de Amparo à Pesquisa do Estado de São Paulo; Rhodes University; Science and Technology Facilities Council; National Research Foundation; National Science Foundation; Royal Society; National Aeronautics and Space Administration; California Institute of Technology; University of Oxford; National Institutes of Health; Inyuvesi Yakwazulu-Natali","keywords":"Cosmic microwave background; Physics; Sky; Spectral index; Polarization (electrochemistry); Astrophysics; Amplitude; Cosmic background radiation; Synchrotron; Pixel; Parametric statistics; Optics; Spectral line; Astronomy; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007066136,0.0004318678,0.0003320141,0.0002796748,0.0003447633,0.0005611773,0.0008659892,0.0005513324,0.002680279],"category_scores_gemma":[0.001723049,0.0002487421,0.0006109632,0.0008342054,0.0002625671,0.0006284859,0.0006851772,0.0008507619,0.000440977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038753,"about_ca_system_score_gemma":0.0003618057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008633805,"about_ca_topic_score_gemma":0.01301629,"domain_scores_codex":[0.9996951,0.000127564,0.000009895818,0.0000666659,0.00004890959,0.00005201863],"domain_scores_gemma":[0.9994429,0.000219144,0.00004903697,0.0001448935,0.00008426447,0.00005979863],"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":[0.0007191343,0.0002705664,0.1233863,0.0001154891,0.0002582541,0.0001690751,0.0001659371,0.8188345,0.008232702,0.01105702,0.007486534,0.02930452],"study_design_scores_gemma":[0.00009686372,0.0001728732,0.0604453,0.00001770856,0.00005965735,0.000140784,0.0001051775,0.9195046,0.004956933,0.005726131,0.008719569,0.00005439556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019582,0.0001391098,0.07959613,0.0002389874,0.00005744856,0.00007534747,0.006155021,0.001442849,0.01033709],"genre_scores_gemma":[0.9760609,0.00004828207,0.01750262,0.00003616936,0.000009564771,0.00005647045,0.00529778,0.0001793033,0.000808878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008633805,"threshold_uncertainty_score":0.01716709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068329246125407,"score_gpt":0.2067279892451388,"score_spread":0.1960446967838847,"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."}}