{"id":"W1968727606","doi":"10.1051/0004-6361:20065258","title":"Archeops in-flight performance, data processing, and map making","year":2007,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Centre National d’Etudes Spatiales","keywords":"Cosmic microwave background; Sky; Physics; Bolometer; Planck; Angular resolution (graph drawing); Astrophysics; Astronomy; Anisotropy; Remote sensing; Satellite; Measure (data warehouse); Optics; Detector; Geology; Computer science","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":[0.0002094165,0.0002307614,0.000247972,0.0001277386,0.0001933607,0.00008142358,0.0003062103,0.00004812197,0.00002895415],"category_scores_gemma":[0.000001316752,0.0002342756,0.00002367927,0.0001955358,0.0001762255,0.0006218789,0.0003304688,0.0003148771,0.000007537915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727249,"about_ca_system_score_gemma":0.00004981205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003361956,"about_ca_topic_score_gemma":0.000007452903,"domain_scores_codex":[0.9986205,0.00001336585,0.0003104995,0.0004766467,0.00009044331,0.0004885495],"domain_scores_gemma":[0.9993004,0.00003053522,0.0001341906,0.0004271095,0.00002713816,0.00008062167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001022138,0.00006051373,0.3091442,0.00001124044,0.00001571589,0.000001106406,0.00005289356,0.00001369209,0.00006790824,0.006961909,0.00002091992,0.6836396],"study_design_scores_gemma":[0.002082888,0.000232294,0.7157082,0.0001753312,0.00008917091,0.000008491738,0.002113291,0.004740818,0.001155422,0.001976976,0.2708685,0.0008485987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7691548,0.0001000269,0.2286828,0.00008679854,0.00005172747,0.0001853058,0.00002601629,0.00003307325,0.001679462],"genre_scores_gemma":[0.911078,0.000002295529,0.08842863,0.00001428968,0.0002621505,0.0000183834,0.0001098062,0.00002001496,0.00006647708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6827911,"threshold_uncertainty_score":0.9553481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724931600473441,"score_gpt":0.2478769315717405,"score_spread":0.230627615567006,"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."}}