{"id":"W4213366926","doi":"10.1051/0004-6361/201833293","title":"<i>Planck</i>2018 results","year":2018,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; University of Toronto","funders":"Fundação para a Ciência e a Tecnologia; Office of Science; Institut National de Physique Nucléaire et de Physique des Particules; Ministério da Ciência, Tecnologia e Ensino Superior; Ministerio de Ciencia e Innovación; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Science and Technology Facilities Council; Tekes; UK Space Agency; Bundesministerium für Wirtschaft und Technologie; Partnership for Advanced Computing in Europe AISBL; Agence Nationale de la Recherche; National Science Foundation; European Space Agency; China Scholarship Council; National Aeronautics and Space Administration; Centre National d’Etudes Spatiales; U.S. Department of Energy; Science Foundation Ireland","keywords":"Planck; Pipeline (software); Sky; Physics; Calibration; Computer science; Consistency (knowledge bases); Astrophysics; Artificial intelligence","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":[0.00007448288,0.0001557042,0.0001513968,0.00002986612,0.0002882499,0.00004566775,0.0001035664,0.000026956,0.0001150121],"category_scores_gemma":[0.00000312417,0.0001502318,0.00005180308,0.00009590343,0.0003229629,0.0001706311,0.00006459756,0.0001232354,0.0002040428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004936277,"about_ca_system_score_gemma":0.00002762377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003236292,"about_ca_topic_score_gemma":0.00000130655,"domain_scores_codex":[0.9992015,0.00003322493,0.0001815664,0.0002601178,0.00006518597,0.0002583688],"domain_scores_gemma":[0.9994999,0.00005454499,0.00009331812,0.0002109173,0.00005734745,0.0000840222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001859951,0.00009438898,0.02822803,0.000002895912,0.00009975938,8.031386e-7,0.0005823933,0.000004136115,0.0004599608,0.4512419,0.003405859,0.515694],"study_design_scores_gemma":[0.002520495,0.0007493557,0.03804197,0.00003107284,0.00008181744,0.000003209993,0.001535685,0.00001774826,0.01161075,0.4152109,0.5295945,0.0006024469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5636785,0.00002528045,0.4066832,0.0004606463,0.0005875975,0.0001897515,0.0003045077,0.00008012648,0.02799038],"genre_scores_gemma":[0.9651077,1.25009e-7,0.03287744,0.00005855072,0.001222444,0.000009601566,0.00009986638,0.00001158501,0.0006126326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5261887,"threshold_uncertainty_score":0.6126273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006429025712103808,"score_gpt":0.2231404999903485,"score_spread":0.2167114742782447,"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."}}