{"id":"W4391766485","doi":"10.48550/arxiv.2402.06052","title":"High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Lawrence Berkeley National Laboratory; SLAC National Accelerator Laboratory; Fermilab; Chinese Academy of Sciences; Science and Technology Facilities Council; University College London; Deutsche Forschungsgemeinschaft; Agencia Nacional de Investigación y Desarrollo; University of Portsmouth; Ohio State University; Integrated Electronics Engineering Center, Binghamton University; University of Illinois at Urbana-Champaign; Financiadora de Estudos e Projetos; University of Sussex; University of Pennsylvania; Argonne National Laboratory; U.S. Department of Energy; National Natural Science Foundation of China; University of Chicago; National Science Foundation","keywords":"Physics; Photometry (optics); Sky; Active galactic nucleus; Astrophysics; Light curve; Galaxy; Astronomy; Telescope","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":[0.001551615,0.0005239522,0.0005188608,0.001992741,0.0004781272,0.0009985651,0.001060712,0.0003636359,0.00860855],"category_scores_gemma":[0.001755067,0.000389292,0.0004171537,0.001747271,0.0001977182,0.001283045,0.002824956,0.000679128,0.006087078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004782857,"about_ca_system_score_gemma":0.0007276505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005792308,"about_ca_topic_score_gemma":0.01228071,"domain_scores_codex":[0.9990495,0.00008744282,0.00003675153,0.0003080324,0.0003368164,0.0001813972],"domain_scores_gemma":[0.9979151,0.00009196117,0.0001997853,0.0008462387,0.0005233255,0.0004237187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001083786,0.0005392139,0.1977478,0.0003319021,0.000273652,0.0004004641,0.0008136705,0.00256034,0.02474493,0.004279048,0.4540739,0.3131513],"study_design_scores_gemma":[0.0002496648,0.0002204627,0.3901267,0.0001092833,0.00008688266,0.0003799286,0.0002459986,0.01769201,0.02334175,0.002631066,0.5647916,0.0001246684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3292535,0.0008177561,0.07864724,0.001085576,0.0004928747,0.001919273,0.3732364,0.07906359,0.1354838],"genre_scores_gemma":[0.297878,0.0002504241,0.1477266,0.0007363988,0.0003958411,0.001137568,0.5165477,0.003770008,0.03155744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00860855,"threshold_uncertainty_score":0.02879846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06245359714405117,"score_gpt":0.2393704150000605,"score_spread":0.1769168178560093,"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."}}