{"id":"W2025177494","doi":"10.1051/0004-6361/201321580","title":"<i>Planck</i>2013 results. XII. Diffuse component separation","year":2014,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":294,"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; Instituto de Física de Cantabria; 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; National Aeronautics and Space Administration; China Scholarship Council; Science and Technology Facilities Council; Tekes; Centre National d’Etudes Spatiales; Partnership for Advanced Computing in Europe AISBL; Max-Planck-Gesellschaft; UK Space Agency; Science Foundation Ireland","keywords":"Physics; Astrophysics; Planck; Component (thermodynamics); Separation (statistics); Astronomy; Statistics; Thermodynamics","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":[0.001606084,0.00194833,0.0006927236,0.002759204,0.0008350206,0.00286465,0.001257987,0.001002951,0.09810962],"category_scores_gemma":[0.003864766,0.0005558753,0.001468555,0.006462779,0.0005051917,0.002123091,0.001791778,0.00141309,0.06598052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561488,"about_ca_system_score_gemma":0.001001533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01587083,"about_ca_topic_score_gemma":0.01199704,"domain_scores_codex":[0.999193,0.0001031253,0.00004342637,0.0001212723,0.0004054627,0.0001336197],"domain_scores_gemma":[0.9986589,0.0002160539,0.000143949,0.0004805732,0.0004006214,0.0000999458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002076083,0.00002930519,0.003015079,0.0006569906,0.000178535,0.0001580333,0.00006996254,0.0042907,0.001233962,0.009991148,0.9319763,0.04819246],"study_design_scores_gemma":[0.00006240269,0.00003079022,0.02837528,0.0001964465,0.0001315388,0.0003437392,0.0001100491,0.00614178,0.00793966,0.01388108,0.9426634,0.0001237931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009045755,0.004734566,0.03846096,0.006409894,0.002708363,0.0001531633,0.7304869,0.01437013,0.1936302],"genre_scores_gemma":[0.1036669,0.00760394,0.06898236,0.001839105,0.001523454,0.0004946053,0.7412617,0.01222616,0.06240185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09810962,"threshold_uncertainty_score":0.3282093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005774741837161109,"score_gpt":0.226637890742202,"score_spread":0.2208631489050409,"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."}}