{"id":"W3144662244","doi":"10.3847/1538-4357/abea15","title":"SILVERRUSH X: Machine Learning-aided Selection of 9318 LAEs at z = 2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 from the HSC SSP and CHORUS Survey Data","year":2021,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Planetary Science Division; Japan Society for the Promotion of Science; Science Mission Directorate; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Toray Science Foundation; University of Tokyo; High Energy Accelerator Research Organization; National Astronomical Observatory of Japan; Max-Planck-Gesellschaft; Ministry of Education, Culture, Sports, Science and Technology; Queen's University; Cabinet Office, Government of Japan; Eötvös Loránd Tudományegyetem; Academia Sinica; Space Telescope Science Institute; Los Alamos National Laboratory; Johns Hopkins University; Princeton University; National Central University; Gordon and Betty Moore Foundation; Queen's University Belfast; National Aeronautics and Space Administration; Durham University; Japan Science and Technology Agency; Smithsonian Institution; National Science Foundation","keywords":"Reionization; Chorus; Convolutional neural network; Selection (genetic algorithm); COSMIC cancer database; Stars; Narrowband","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":[0.0008647421,0.0003192051,0.0003561956,0.002014017,0.0003310333,0.000476344,0.0005193712,0.0002176089,0.002735733],"category_scores_gemma":[0.0009256468,0.0001515888,0.0004107628,0.0008288027,0.0001311203,0.0002529848,0.0006127587,0.0002187381,0.001322882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840628,"about_ca_system_score_gemma":0.0004382006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006257653,"about_ca_topic_score_gemma":0.01294703,"domain_scores_codex":[0.999791,0.00004218517,0.00001045026,0.00006135079,0.00005331073,0.00004175251],"domain_scores_gemma":[0.9993857,0.0001153455,0.0001168663,0.0001530611,0.000116488,0.0001124321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008524103,0.0004755517,0.5666704,0.0001599386,0.0003001401,0.0007706594,0.0002516317,0.0284782,0.04360552,0.00108766,0.06741668,0.2899312],"study_design_scores_gemma":[0.0003465666,0.0003083309,0.5527816,0.00004586173,0.000133305,0.0003528697,0.0002158774,0.3832749,0.03150214,0.0008358808,0.03015238,0.00005038809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770277,0.000150284,0.00798623,0.0001293956,0.00002251756,0.00007797123,0.006434944,0.005498527,0.00267258],"genre_scores_gemma":[0.8847333,0.00009494553,0.0502087,0.0001262554,0.00008033429,0.0001220018,0.05949628,0.0006068837,0.004531298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006257653,"threshold_uncertainty_score":0.01244247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698448045648332,"score_gpt":0.2284344056279695,"score_spread":0.2114499251714862,"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."}}