{"id":"W7064940992","doi":"","title":"Data Reduction pipeline for MOST Guide Stars and Application to two Observing Runs. Veröffentlichungen der Kommission für Astronomie|Communications in Asteroseismology|Communications in Asteroseismology 156 156|","year":2008,"lang":"en","type":"other","venue":"Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der  Österreichischen Akademie der Wissenschaften)","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Verkehr, Innovation und Technologie; Austrian Science Fund; Canadian Space Agency; National Science Foundation","keywords":"Asteroseismology; Pipeline (software); Data reduction; Reduction (mathematics); Stars","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007857566,0.001103969,0.000949139,0.0028189,0.00118678,0.001610819,0.001492222,0.0007068157,0.1105331],"category_scores_gemma":[0.002839874,0.0008418755,0.001113117,0.003262701,0.0001775749,0.0009790531,0.001718962,0.001194866,0.09910774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975089,"about_ca_system_score_gemma":0.002199529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01862852,"about_ca_topic_score_gemma":0.02673376,"domain_scores_codex":[0.9995091,0.00002617625,0.00004905669,0.000175521,0.0001605932,0.00007944816],"domain_scores_gemma":[0.9985099,0.0001531838,0.00007546569,0.0004418324,0.0006875661,0.000132069],"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":[0.0003959604,0.0001280874,0.006008426,0.0003190598,0.00006279754,0.0001041481,0.0002577713,0.000792184,0.01078678,0.0007161002,0.7906275,0.1898012],"study_design_scores_gemma":[0.0004797215,0.0001607928,0.0643789,0.0001137034,0.0001255059,0.000314757,0.0003480328,0.01624254,0.02971416,0.003124316,0.8848478,0.0001498549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01799553,0.0002212256,0.1456893,0.0004770546,0.0003621972,0.001946863,0.4657143,0.3372138,0.03037979],"genre_scores_gemma":[0.02255093,0.0001770809,0.22731,0.0002188811,0.0001042102,0.002172209,0.6899641,0.02014547,0.03735715],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1105331,"threshold_uncertainty_score":0.3697702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158755606283366,"score_gpt":0.3823156021290534,"score_spread":0.3207280460662197,"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."}}