{"id":"W2908994053","doi":"10.1051/0004-6361/201935041","title":"Mass bias evolution in tSZ cluster cosmology","year":2019,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; European Commission; National Aeronautics and Space Administration","keywords":"Cosmic microwave background; Physics; Astrophysics; Redshift; Cosmology; Weak gravitational lensing; Galaxy cluster; Galaxy; Cluster (spacecraft); Scaling; Spectral density; Anisotropy; Statistics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001761533,0.0003548766,0.0002726844,0.001135225,0.0002729277,0.0007902123,0.0003881146,0.0003214087,0.001070069],"category_scores_gemma":[0.006437965,0.000185224,0.0003277821,0.0006613349,0.0006352342,0.0006086476,0.0005159331,0.0003618815,0.0001407161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809741,"about_ca_system_score_gemma":0.0001882616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370986,"about_ca_topic_score_gemma":0.002215804,"domain_scores_codex":[0.9996165,0.0001306332,0.00001290413,0.0001440807,0.0000536053,0.00004228599],"domain_scores_gemma":[0.9963086,0.001643595,0.000870443,0.0006443091,0.0003206513,0.0002122494],"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":[0.0006639084,0.00004239928,0.8577937,0.0001464916,0.0006075713,0.0006734061,0.0007539077,0.07028953,0.01478265,0.03254971,0.001338261,0.02035838],"study_design_scores_gemma":[0.00004052321,0.00008491198,0.8546925,0.00005319284,0.0001780927,0.0003469723,0.0002069237,0.1220209,0.00788604,0.01207312,0.002354018,0.00006278651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941624,0.0005065019,0.003350787,0.0001281567,0.000009845426,0.000005018936,0.0001717088,0.00009992809,0.001565734],"genre_scores_gemma":[0.9991678,0.00007328676,0.0004311839,0.00001047255,0.000008312737,0.000001698381,0.0001270266,0.00002506185,0.0001550701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005370986,"threshold_uncertainty_score":0.01067942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006523714678225823,"score_gpt":0.1933817933921037,"score_spread":0.1868580787138779,"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."}}