{"id":"W4415333815","doi":"10.48550/arxiv.2506.15475","title":"Procedures for Constraining Robotic Fiber Positioning for Highly Multiplexed Spectroscopic Surveys: The Case of FPS for SDSS-V","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; National Astronomical Observatories, Chinese Academy of Sciences; University of Illinois at Urbana-Champaign; Flatiron Health; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; University of Colorado Boulder; Leibniz-Institut für Astrophysik Potsdam; New Mexico State University; Nanjing University; Yale University; University of Toronto; École Polytechnique Fédérale de Lausanne; Space Telescope Science Institute; Universidad Nacional Autónoma de México; Alfred P. Sloan Foundation; Johns Hopkins University; Harvard University; China National Textile and Apparel Council; National Science Foundation; Yunnan University; California Institute of Technology; Ohio State University; Carnegie Institution of Washington; Smithsonian Institution","keywords":"Sky; Set (abstract data type); Brightness; Position (finance); Cardinal point; Optical fiber; Fiber; Data set","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005661201,0.0003697251,0.0006122203,0.00008442337,0.0004735957,0.00009349618,0.0004143861,0.0001188611,0.00005182872],"category_scores_gemma":[0.00018537,0.0003035364,0.0005743486,0.000109052,0.000227002,0.00007923467,0.000273677,0.0004455465,0.000004708652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005168592,"about_ca_system_score_gemma":0.0007409239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002713283,"about_ca_topic_score_gemma":0.00002026469,"domain_scores_codex":[0.9979959,0.0001221557,0.0005234272,0.0006151627,0.0001122149,0.0006311148],"domain_scores_gemma":[0.9965827,0.002137566,0.0003515771,0.0004359221,0.0003957906,0.00009637583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00291957,0.004493226,0.3788039,0.01533189,0.01230272,0.00004160405,0.005731786,0.07760301,0.05102487,0.1469618,0.009119814,0.2956658],"study_design_scores_gemma":[0.03462566,0.005193431,0.09630548,0.01092105,0.005002639,0.00002129764,0.01887392,0.1213707,0.6252619,0.07180679,0.003843124,0.006773994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4799212,0.00006229048,0.5133962,0.0004596699,0.0002412392,0.003882533,0.00163604,0.00003181641,0.0003689874],"genre_scores_gemma":[0.9786556,7.580434e-7,0.01595074,0.00002213103,0.0008089889,0.002411856,0.0006410273,0.00003768983,0.001471168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.574237,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920411392815619,"score_gpt":0.3431330414868295,"score_spread":0.2939289275586733,"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."}}