{"id":"W4280632309","doi":"10.3847/1538-3881/ac9ab1","title":"The Robotic Multiobject Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI)","year":2022,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"High Energy Physics; Science and Technology Facilities Council; Office of Science; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Division of Astronomical Sciences; Institut de Física d'Altes Energies; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; National Science Foundation; Centro para el Desarrollo Tecnológico Industrial; European Regional Development Fund; U.S. Department of Energy; European Commission; Centres de Recerca de Catalunya; Gordon and Betty Moore Foundation; Consejo Nacional de Ciencia y Tecnología","keywords":"Physics; Cardinal point; Telescope; Dark energy; Observatory; Sky; Fiducial marker; Galaxy; LAMOST; Fiber; Measure (data warehouse); Optics; Optical fiber; Astronomy; Artificial intelligence; Computer science; Cosmology","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":[0.007007152,0.0007054214,0.0005551343,0.002246218,0.000643515,0.001678809,0.001784086,0.001235314,0.006831315],"category_scores_gemma":[0.00296192,0.0004811039,0.0005201508,0.001108358,0.0007009743,0.002630812,0.001066781,0.0008893688,0.003586946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00362542,"about_ca_system_score_gemma":0.002913094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005081315,"about_ca_topic_score_gemma":0.005775464,"domain_scores_codex":[0.9965687,0.0003279676,0.0001183454,0.000656899,0.002150055,0.000178031],"domain_scores_gemma":[0.9920897,0.0005144832,0.0007602042,0.0008051724,0.005430961,0.0003994106],"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":[0.0006534278,0.000133132,0.0124072,0.001532978,0.0001139051,0.0002346798,0.0003458316,0.002563336,0.1979618,0.01931631,0.02758672,0.7371507],"study_design_scores_gemma":[0.0001083907,0.001048208,0.03177269,0.0003735129,0.000108705,0.0008312002,0.000186639,0.006351394,0.1448909,0.002120829,0.8120785,0.0001290539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1342225,0.03259492,0.6867033,0.004160988,0.001189448,0.002721417,0.006716311,0.01491914,0.1167719],"genre_scores_gemma":[0.2849154,0.006138881,0.648684,0.001449278,0.0004902871,0.001019222,0.008694078,0.001125098,0.0474838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007007152,"threshold_uncertainty_score":0.03705782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008073666346623968,"score_gpt":0.2226373086290254,"score_spread":0.2145636422824015,"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."}}