{"id":"W4387838959","doi":"10.48550/arxiv.2310.12704","title":"CatNorth: An Improved Gaia DR3 Quasar Candidate Catalog with Pan-STARRS1 and CatWISE","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Planetary Science Division; Basic and Applied Basic Research Foundation of Guangdong Province; Leibniz-Gemeinschaft; University of Colorado Boulder; University of California, Los Angeles; National Astronomical Observatories, Chinese Academy of Sciences; University of Illinois at Urbana-Champaign; Max-Planck-Institut für Astronomie; Jet Propulsion Laboratory; Leibniz-Institut für Astrophysik Potsdam; Smithsonian Astrophysical Observatory; National Development and Reform Commission; China National Textile and Apparel Council; Eötvös Loránd Tudományegyetem; Peking University; National Central University; Chinese Academy of Sciences; Smithsonian Institution; National Natural Science Foundation of China; École Polytechnique Fédérale de Lausanne; Shenzhen Technology University; Gordon and Betty Moore Foundation; Queen's University Belfast; Universidad Nacional Autónoma de México; Space Telescope Science Institute; Los Alamos National Laboratory; European Space Agency; Alfred P. Sloan Foundation; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; China Postdoctoral Science Foundation; Harvard University; Queen's University; Ohio State University; Durham University; California Institute of Technology; National Aeronautics and Space Administration; Nanjing University; New Mexico State University; Science Mission Directorate; University of Toronto; Yale University; Yunnan University; National Science Foundation","keywords":"Quasar; Physics; Astrophysics; Redshift; Galaxy; Sky; OVV quasar; LAMOST; Photometric redshift; Cosmology; ROSAT; Astronomy","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":[0.001147577,0.0009104477,0.0006711799,0.006005852,0.0004808808,0.0009503596,0.001495731,0.0004383363,0.007861328],"category_scores_gemma":[0.002350992,0.0004660207,0.0009281385,0.004210297,0.0001798945,0.00114517,0.001630096,0.0005149178,0.005610132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022573,"about_ca_system_score_gemma":0.001322442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019224,"about_ca_topic_score_gemma":0.03505718,"domain_scores_codex":[0.9993505,0.00006431997,0.00004363157,0.0002017076,0.0002589138,0.00008104462],"domain_scores_gemma":[0.997973,0.0001445956,0.0002684897,0.0006481849,0.000745584,0.0002200845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001407878,0.0005689816,0.3626956,0.0006974927,0.0008025856,0.001054543,0.0004133552,0.01702385,0.02542065,0.003051395,0.3410832,0.2457805],"study_design_scores_gemma":[0.0005738082,0.0005865835,0.5325524,0.0001597568,0.0004778886,0.001406198,0.0002366011,0.1096341,0.02014057,0.002156568,0.3318297,0.0002458339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4827052,0.001047568,0.05464968,0.0002403016,0.0001681156,0.0007842429,0.4131549,0.03219535,0.01505464],"genre_scores_gemma":[0.1394899,0.0001512119,0.04127222,0.0001639946,0.00007300203,0.0004323495,0.8122249,0.001396873,0.004795446],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02019224,"threshold_uncertainty_score":0.04014939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936953883078616,"score_gpt":0.1741782603207165,"score_spread":0.1448087214899303,"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."}}