{"id":"W2188881976","doi":"10.3847/0004-637x/822/2/66","title":"HYPERCALIBRATION: A PAN-STARRS1-BASED RECALIBRATION OF THE SLOAN DIGITAL SKY SURVEY PHOTOMETRY","year":2016,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Brookhaven National Laboratory; Planetary Science Division; Smithsonian Astrophysical Observatory; Office of Science; Max-Planck-Institut für Astronomie; National Central University; Deutsche Forschungsgemeinschaft; Durham University; York University; Space Telescope Science Institute; Carnegie Mellon University; College of Engineering, Michigan State University; Princeton University; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; Goddard Space Flight Center; Harvard University; Ohio State University; National Science Foundation; U.S. Department of Energy; Smithsonian Institution; National Aeronautics and Space Administration; New Mexico State University; University of Portsmouth; Vanderbilt University; Science Mission Directorate; Yale University","keywords":"Photometry (optics); Sky; Stars; Photometric system; Apparent magnitude","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":[0.002372299,0.0006793122,0.0006896168,0.00272297,0.0006885077,0.001551683,0.001178692,0.0004840793,0.005345515],"category_scores_gemma":[0.004842729,0.000513047,0.0007920427,0.002740861,0.0002438182,0.001207612,0.001526684,0.0008185012,0.003499816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002558,"about_ca_system_score_gemma":0.0008164016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448401,"about_ca_topic_score_gemma":0.02038235,"domain_scores_codex":[0.9981541,0.0003678626,0.0001446657,0.0006667798,0.000532318,0.0001341412],"domain_scores_gemma":[0.9966021,0.0002084451,0.0003774201,0.001639554,0.001089909,0.00008254606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006458029,0.0005777708,0.2789851,0.0003711635,0.0007714969,0.0002398043,0.001569113,0.07264318,0.0507416,0.003190333,0.0631637,0.5271009],"study_design_scores_gemma":[0.0002035785,0.0002353191,0.4947582,0.0001053818,0.0003070185,0.0003755046,0.0005093904,0.2744755,0.06350688,0.002851994,0.1624557,0.0002154972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6781288,0.0008181643,0.2184019,0.0006288647,0.0003564194,0.0005515506,0.02525826,0.0514342,0.02442187],"genre_scores_gemma":[0.7402183,0.0002449666,0.1988292,0.0003470112,0.00009657773,0.0002942387,0.04853764,0.005173246,0.006258801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01448401,"threshold_uncertainty_score":0.02879941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491945707375427,"score_gpt":0.2194171196286381,"score_spread":0.2044976625548838,"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."}}