{"id":"W4415037365","doi":"10.48550/arxiv.2505.21328","title":"robostrategy: Field and Target Assignment Optimization in the Sloan Digital Sky Survey V","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Academy of Sciences; Leibniz-Gemeinschaft; University of Colorado Boulder; Max-Planck-Institut für Astronomie; Leibniz-Institut für Astrophysik Potsdam; New Mexico State University; Nanjing University; Yale University; University of Toronto; California Institute of Technology; Universität Hamburg; École Polytechnique Fédérale de Lausanne; Space Telescope Science Institute; Universidad Nacional Autónoma de México; Alfred P. Sloan Foundation; Eberhard Karls Universität Tübingen; Johns Hopkins University; National Astronomical Observatories, Chinese Academy of Sciences; University of Illinois at Urbana-Champaign; Rheinische Friedrich-Wilhelms-Universität Bonn; Harvard University; China National Textile and Apparel Council; National Science Foundation; Yunnan University; Ohio State University; Max-Planck-Gesellschaft; Carnegie Institution of Washington; Smithsonian Astrophysical Observatory; Flatiron Health; Smithsonian Institution","keywords":"Sky; Software; Field of view; Field (mathematics); Object (grammar); Cardinal point; Function (biology); Thematic Mapper","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000358952,0.0002419127,0.0002206369,0.0001057235,0.00004637608,0.0003287814,0.0002594523,0.0002374434,0.00002207758],"category_scores_gemma":[0.0001228911,0.0002039842,0.00004426206,0.0002268865,0.00002640253,0.0001102978,0.0001237921,0.0006181836,0.000005014519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003689206,"about_ca_system_score_gemma":0.00004452977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002509679,"about_ca_topic_score_gemma":0.00004119056,"domain_scores_codex":[0.9990211,0.00007058863,0.0002663233,0.0002876394,0.0001304059,0.0002239119],"domain_scores_gemma":[0.9992877,0.0002857246,0.00004393571,0.0003070777,0.00003544166,0.00004010108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001310201,0.00004646786,0.665655,0.0003463664,0.00005470384,0.00001138963,0.0005099939,0.3250189,0.00002334441,0.000003904845,0.000516662,0.007800105],"study_design_scores_gemma":[0.001067189,0.0001330454,0.5799859,0.001251017,0.0001121013,0.00001517082,0.0008023187,0.4028075,0.006849519,0.001153457,0.003911475,0.001911227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7523135,0.007713614,0.2179939,0.0003575934,0.001365789,0.0007877103,0.0002338307,0.0004486278,0.01878545],"genre_scores_gemma":[0.9977993,0.0004701594,0.001024684,0.0001481862,0.00005925817,0.0000407368,0.0003068058,0.00002041574,0.0001304504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2454858,"threshold_uncertainty_score":0.8318233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016933748895791,"score_gpt":0.2560792257412702,"score_spread":0.2259098882523123,"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."}}