{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002309815,0.001772641,0.0008325228,0.001660855,0.0009715132,0.002017797,0.001386413,0.0008123291,0.07436685],"category_scores_gemma":[0.005401,0.0005712947,0.00178099,0.001981278,0.0004330208,0.001651276,0.002442184,0.001064934,0.07393787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020684,"about_ca_system_score_gemma":0.0007060764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007945756,"about_ca_topic_score_gemma":0.004976649,"domain_scores_codex":[0.9985191,0.0001878538,0.00008470781,0.0002913127,0.0006526647,0.0002643671],"domain_scores_gemma":[0.9985928,0.0003096136,0.0001248132,0.0005171784,0.0003602254,0.0000953963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004176363,0.0000963719,0.01545468,0.001059362,0.0003781646,0.0004994337,0.0004112108,0.03054359,0.007266406,0.01470716,0.8731106,0.05605553],"study_design_scores_gemma":[0.000180691,0.00006715619,0.05272886,0.0002551556,0.0002562197,0.0003014763,0.0002741955,0.01552957,0.01290523,0.01888167,0.8983513,0.0002685774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02421384,0.0006350976,0.02991603,0.001563447,0.0004360394,0.0002670946,0.8871013,0.01580395,0.04006325],"genre_scores_gemma":[0.1127265,0.0006920563,0.04370888,0.0007665758,0.0003808673,0.001819524,0.8074929,0.0134738,0.01893885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07436685,"threshold_uncertainty_score":0.2487819,"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."}}