{"id":"W1973494972","doi":"10.1051/0004-6361/201116484","title":"<i>Planck</i>early results. V. The Low Frequency Instrument data processing","year":2011,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Science and Technology Facilities Council; National Aeronautics and Space Administration; China Scholarship Council; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Bundesministerium für Wirtschaft und Technologie; Academy of Finland; European Space Agency; Office of Science; Deutsches Zentrum für Luft- und Raumfahrt; National Energy Research Scientific Computing Center; Centre National d’Etudes Spatiales; Max-Planck-Institut für Astrophysik; U.S. Department of Energy","keywords":"Noise (video); Cosmic microwave background; Calibration; Planck; Sky; Cosmic background radiation; Data processing; Statistical noise; Microwave","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":[0.002646573,0.001731185,0.0008888735,0.003453971,0.000794955,0.003112017,0.001817652,0.0009731241,0.05109441],"category_scores_gemma":[0.00387556,0.0008222997,0.001169208,0.00503228,0.0005438254,0.002224373,0.002108525,0.001176862,0.05121636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133052,"about_ca_system_score_gemma":0.0008368655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842187,"about_ca_topic_score_gemma":0.004108731,"domain_scores_codex":[0.9990361,0.0001530107,0.00005465553,0.0001323356,0.0004982735,0.0001255985],"domain_scores_gemma":[0.9979831,0.0003275151,0.0001362786,0.001041141,0.0004137962,0.00009818521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003131218,0.00005750796,0.005406265,0.001873074,0.0003298503,0.0004606325,0.000298093,0.004508924,0.01307778,0.0282567,0.7307537,0.2146643],"study_design_scores_gemma":[0.00003330775,0.0000362897,0.01820702,0.0001687696,0.0001003459,0.00030628,0.00004930177,0.002810419,0.01521288,0.0143324,0.948646,0.00009691642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.007783659,0.009027631,0.2807451,0.003979899,0.00170709,0.0007800442,0.4882119,0.06227399,0.1454907],"genre_scores_gemma":[0.06734613,0.006836136,0.3951933,0.002545635,0.002015119,0.002136384,0.4421093,0.02230581,0.05951202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05109441,"threshold_uncertainty_score":0.1709278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03949144606830651,"score_gpt":0.2545768041731515,"score_spread":0.215085358104845,"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."}}