{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007301686,0.0002364578,0.0002375325,0.00006136063,0.0001713154,0.00004514016,0.0001966912,0.00004337397,0.00012699],"category_scores_gemma":[0.000003513093,0.0001741653,0.00008426657,0.0001261842,0.0001645317,0.0003393273,0.0001018992,0.0001274541,0.0001153051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001778875,"about_ca_system_score_gemma":0.00004201952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003525728,"about_ca_topic_score_gemma":9.164015e-7,"domain_scores_codex":[0.9987583,0.00002449851,0.0002976198,0.0004060977,0.00009434753,0.000419197],"domain_scores_gemma":[0.9992151,0.00006710165,0.0001485644,0.0003939168,0.00004747726,0.0001278127],"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":[0.0000249807,0.00007487038,0.03799317,0.000001130961,0.00005844741,8.115582e-7,0.00001679322,0.0000052317,0.001425398,0.0844221,0.001085079,0.874892],"study_design_scores_gemma":[0.003908879,0.0002979347,0.03685075,0.00005094656,0.00007143135,0.000004217555,0.000307762,0.00002278494,0.00775625,0.01234178,0.9377466,0.0006406079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4019646,0.00002740152,0.585995,0.001449741,0.0001858393,0.0002487524,0.0003297025,0.0001259525,0.009673023],"genre_scores_gemma":[0.9530126,0.000001472218,0.04575196,0.00001911356,0.0004962544,0.00006104397,0.00004725067,0.00002225294,0.0005880434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9366616,"threshold_uncertainty_score":0.7102256,"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."}}