{"id":"W4292421616","doi":"10.3847/1538-3881/aca5f9","title":"The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument","year":2023,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Perimeter Institute","funders":"Lawrence Berkeley National Laboratory; High Energy Physics; Division of Astronomical Sciences; Science and Technology Facilities Council; Office of Science; Ministerio de Ciencia e Innovación; Jet Propulsion Laboratory; Ministry of Science and Technology, Taiwan; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Chinese Academy of Sciences; National Science Foundation; European Space Agency; National Aeronautics and Space Administration; U.S. Department of Energy; California Institute of Technology; Gordon and Betty Moore Foundation; Consejo Nacional de Ciencia y Tecnología","keywords":"Physics; Dark energy; Galaxy; Astronomy; QSOS; Milky Way; Astrophysics; Pipeline (software); Sky; Quasar; Cosmology; Computer science","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":[0.002155424,0.001230801,0.000654945,0.002771563,0.0009936832,0.002024381,0.001366074,0.0006088568,0.04851448],"category_scores_gemma":[0.007338341,0.001023695,0.001114121,0.0022171,0.0003278874,0.002397403,0.002769838,0.001246407,0.0524249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217598,"about_ca_system_score_gemma":0.001349856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004765383,"about_ca_topic_score_gemma":0.004177098,"domain_scores_codex":[0.9987281,0.0001471678,0.0001144289,0.0003445001,0.0004650152,0.0002007936],"domain_scores_gemma":[0.9970606,0.0006264026,0.0002647336,0.0009102105,0.0009073881,0.0002307145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001090083,0.0001765417,0.01880389,0.0004106171,0.0001188822,0.000405029,0.0005655691,0.002947762,0.01530793,0.006852628,0.7564332,0.1968879],"study_design_scores_gemma":[0.0003980321,0.0002020644,0.03675271,0.0001459952,0.00007326074,0.0006971705,0.0003626791,0.05365213,0.0733951,0.01850765,0.8155388,0.0002742747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01935028,0.0003259627,0.2228425,0.0008350098,0.0002040595,0.001228896,0.1845654,0.541572,0.02907584],"genre_scores_gemma":[0.1072103,0.0003150793,0.2508245,0.0012194,0.0002328028,0.002051141,0.537311,0.0722218,0.02861397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04851448,"threshold_uncertainty_score":0.1622971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385214068339656,"score_gpt":0.2746356714690961,"score_spread":0.2607835307856995,"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."}}