{"id":"W4317213180","doi":"10.3847/1538-4365/aca594","title":"The Dark Energy Camera Plane Survey 2 (DECaPS2): More Sky, Less Bias, and Better Uncertainties","year":2023,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Perimeter Institute; University of Waterloo","funders":"Nuclear Safety and Security Commission; National Aeronautics and Space Administration; Office of Science; Harvard University; Faculty of Arts and Sciences; National Science Foundation","keywords":"Galactic plane; Sky; Physics; Stars; Galaxy; Astrophysics; Shutter; Astronomy; Dark energy; Flux (metallurgy); Remote sensing; Optics; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004556052,0.0002839216,0.0003137638,0.00003754944,0.001466583,0.0003582636,0.0003548524,0.00002178367,0.0001217392],"category_scores_gemma":[0.00001665402,0.0001500476,0.0001124366,0.0001905521,0.0004419848,0.0001501387,0.0002258738,0.0003265907,0.00002168914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001795469,"about_ca_system_score_gemma":0.00003844046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833615,"about_ca_topic_score_gemma":0.0002293218,"domain_scores_codex":[0.9981394,0.0003107671,0.0003391372,0.0002094762,0.0004336935,0.0005675216],"domain_scores_gemma":[0.9984986,0.0008633679,0.0001811989,0.000265317,0.00008241164,0.0001090948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003035197,0.00005103204,0.8505741,0.000007111698,0.000800389,0.00001963902,0.001237561,0.0001735507,0.00006853484,0.00912303,0.1118767,0.02576483],"study_design_scores_gemma":[0.0006418814,0.000254437,0.9182613,0.00002302104,0.0001174014,0.00002395892,0.006267777,0.00009817712,0.0003265924,0.01580185,0.05786488,0.000318732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742725,0.0006075352,0.001717481,0.02121115,0.001017434,0.0002306076,0.0003930373,0.00005617166,0.0004940339],"genre_scores_gemma":[0.9962824,0.0005630191,0.0001930806,0.00018937,0.00139769,0.00002105556,0.0002959478,0.00002559883,0.001031857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0676872,"threshold_uncertainty_score":0.9998333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070363151644496,"score_gpt":0.2425448509611818,"score_spread":0.2218412194447368,"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."}}