{"id":"W4221061514","doi":"10.1093/mnras/stac841","title":"Refined modelling of the radio SZ signal: kinematic terms, relativistic temperature corrections, and anisotropies in the radio background","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Science and Technology Facilities Council; Royal Society; University of Manchester; Canadian Institute for Advanced Research","keywords":"Physics; Cosmic microwave background; Radio frequency; Astrophysics; Redshift; Cosmic background radiation; Radio galaxy; Relativistic quantum chemistry; Cluster (spacecraft); Isotropy; Anisotropy; Galaxy; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003184668,0.0001876001,0.0003221695,0.00002216464,0.0005206433,0.00004123449,0.0006913272,0.00005377563,0.00006338669],"category_scores_gemma":[0.000006244172,0.0001122891,0.0003004539,0.000250668,0.000336305,0.00007901534,0.0002924885,0.0006445117,4.190474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008953096,"about_ca_system_score_gemma":0.00005669463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005030539,"about_ca_topic_score_gemma":0.00001517322,"domain_scores_codex":[0.9986648,0.0002183331,0.000444091,0.0002452103,0.0001883302,0.0002392442],"domain_scores_gemma":[0.9988607,0.0002749848,0.0003644164,0.0004520193,0.0000234218,0.00002451927],"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":[0.00001579533,0.0001346725,0.07898631,0.00001671073,0.00008118256,3.262724e-8,0.0005793812,0.9163005,0.00002918474,0.003117856,0.0003934799,0.000344922],"study_design_scores_gemma":[0.0008116553,0.000107016,0.188851,0.00004609039,0.0001577604,9.555689e-8,0.005879462,0.8020148,0.0001244743,0.0009900719,0.0008282612,0.0001893409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970742,0.0001263956,0.0007522726,0.00123732,0.0001460538,0.0004032804,0.00008608451,0.00001141326,0.0001629912],"genre_scores_gemma":[0.9969185,1.489591e-7,0.002633907,0.00002364871,0.00007397059,0.00007582446,0.00001432686,0.0000156444,0.0002440081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142857,"threshold_uncertainty_score":0.4579015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307359690751357,"score_gpt":0.1972593701548865,"score_spread":0.1841857732473729,"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."}}