{"id":"W2618742605","doi":"10.1051/0004-6361/201730806","title":"BRITE Constellation: data processing and photometry","year":2017,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Royal Military College of Canada; Université de Montréal; Centre for Research in Astrophysics of Québec","funders":"Canadian Space Agency; Österreichische Forschungsförderungsgesellschaft; Ministerstwo Edukacji i Nauki; Universität Wien; University of Toronto; Karl-Franzens-Universität Graz; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Fundacja na rzecz Nauki Polskiej","keywords":"Photometry (optics); Sky; Stars; Constellation; Night sky; Data processing; Detector; Sky brightness","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001395882,0.001224132,0.0007058064,0.004822654,0.0008883787,0.002450305,0.002109403,0.0006250821,0.05141963],"category_scores_gemma":[0.003681016,0.0005301279,0.0003928431,0.005320875,0.0005891184,0.002133652,0.002545939,0.001354224,0.04607776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007677579,"about_ca_system_score_gemma":0.001211696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00556856,"about_ca_topic_score_gemma":0.003710689,"domain_scores_codex":[0.998462,0.0001383139,0.0001192775,0.0003813555,0.000722902,0.0001763224],"domain_scores_gemma":[0.9977527,0.0001261087,0.0001521307,0.0008567644,0.0008640574,0.000248218],"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":[0.001368681,0.0003803107,0.01490175,0.00124673,0.0001880093,0.000508673,0.0005010304,0.01043762,0.03008502,0.01121992,0.6916512,0.237511],"study_design_scores_gemma":[0.0002001207,0.0001236736,0.03189992,0.0001880945,0.00006029033,0.0004622208,0.0001959136,0.0197673,0.02078149,0.008326587,0.9178227,0.0001717754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.03969437,0.002019578,0.08374569,0.001533536,0.00102423,0.001816853,0.6153556,0.1264104,0.1283998],"genre_scores_gemma":[0.1188132,0.0005924132,0.09154953,0.0004637544,0.0004792078,0.001406538,0.7555445,0.009054289,0.02209644],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05141963,"threshold_uncertainty_score":0.1720158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373415409336937,"score_gpt":0.2218034649974858,"score_spread":0.2080693109041165,"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."}}