{"id":"W4289874916","doi":"10.1051/0004-6361/201526803","title":"<i>Planck</i>2015 results","year":2016,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University; University of Toronto","funders":"Fundação para a Ciência e a Tecnologia; Tekes; Science and Technology Facilities Council; Institut National de Physique Nucléaire et de Physique des Particules; Ministério da Ciência, Tecnologia e Ensino Superior; Centre National de la Recherche Scientifique; National Aeronautics and Space Administration; China Scholarship Council; Centre National d’Etudes Spatiales; Partnership for Advanced Computing in Europe AISBL; Max-Planck-Gesellschaft; UK Space Agency; Science Foundation Ireland","keywords":"Physics; Astrophysics; CMB cold spot; Planck; Sky; Emissivity; Galactic plane; Synchrotron; Astronomy; Cosmic microwave background; Anisotropy; Optics; Stars","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":[0.002160056,0.002074274,0.0008931942,0.003516665,0.0008429202,0.002857401,0.001317335,0.000819684,0.09943383],"category_scores_gemma":[0.003661274,0.0004981381,0.00151443,0.005048949,0.0003877401,0.001860022,0.003031607,0.0007898942,0.09030908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369928,"about_ca_system_score_gemma":0.001003764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008688034,"about_ca_topic_score_gemma":0.004220886,"domain_scores_codex":[0.9987561,0.0001504073,0.0001048419,0.000308439,0.0004152915,0.0002649845],"domain_scores_gemma":[0.9988243,0.0002364247,0.0002270493,0.0004036182,0.0001894756,0.0001191573],"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":[0.0001753639,0.00002700053,0.007959394,0.001627077,0.0002750969,0.0002435755,0.000203581,0.003245435,0.001146865,0.01011951,0.9395083,0.03546887],"study_design_scores_gemma":[0.00002971575,0.00002364521,0.05199971,0.0003686959,0.0001566576,0.0002376747,0.0001744027,0.0008147437,0.002213131,0.005820476,0.9380923,0.00006879677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.007124782,0.002195258,0.00413365,0.001297201,0.0003927823,0.00008241679,0.9276133,0.002966142,0.05419456],"genre_scores_gemma":[0.05959246,0.002727534,0.008241931,0.0009814824,0.0004632016,0.0004968443,0.9034632,0.002525386,0.021508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09943383,"threshold_uncertainty_score":0.3326393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007285133347168965,"score_gpt":0.2058529233899127,"score_spread":0.1985677900427437,"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."}}