{"id":"W4394804033","doi":"10.1051/0004-6361/202347890","title":"Identifying frequency de-correlated dust residuals in <i>B</i>-mode maps by exploiting the spectral capability of bolometric interferometry","year":2024,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Agence Nationale de la Recherche","keywords":"Cosmic microwave background; Physics; Spectral index; Astrophysics; Bolometer; Cosmic background radiation; Interferometry; Context (archaeology); Sky; Line-of-sight; Astronomy; Spectral line; Optics; Detector","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":[0.0009099403,0.00040686,0.0001755828,0.001072706,0.0002168746,0.0006583651,0.0003940925,0.000336034,0.0009972018],"category_scores_gemma":[0.002131852,0.0002364334,0.0004096512,0.000550219,0.0003625574,0.0004585187,0.0005171919,0.0003487825,0.0002459888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726949,"about_ca_system_score_gemma":0.0002698332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767894,"about_ca_topic_score_gemma":0.002391814,"domain_scores_codex":[0.9997455,0.00006641562,0.00001125558,0.00007066785,0.00006726679,0.00003888854],"domain_scores_gemma":[0.9988943,0.0003643218,0.0003653416,0.0002097316,0.0001089135,0.00005743539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001265937,0.0001858005,0.5725109,0.0001974459,0.0005800311,0.0004447971,0.0003533795,0.1271843,0.194493,0.009686233,0.001240653,0.0918576],"study_design_scores_gemma":[0.00004743192,0.0001605256,0.4985099,0.00003087517,0.0001793437,0.0005852563,0.0001371663,0.4243558,0.06650718,0.006166872,0.003257298,0.00006219309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225054,0.0001180621,0.07506063,0.00007803587,0.00001220085,0.00001903356,0.0002595573,0.0005802246,0.001366953],"genre_scores_gemma":[0.978624,0.0000248719,0.02075048,0.00001747009,0.000009112748,0.000008305643,0.0003113969,0.00007739012,0.0001768591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001767894,"threshold_uncertainty_score":0.0048123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041746725418803,"score_gpt":0.2407240806575741,"score_spread":0.2303066134033861,"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."}}