{"id":"W3005610169","doi":"10.1117/1.jatis.6.1.015006","title":"Revised astrometric calibration of the Gemini Planet Imager","year":2020,"lang":"en","type":"article","venue":"Journal of Astronomical Telescopes Instruments and Systems","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Université de Montréal","funders":"Lawrence Livermore National Laboratory; Nuclear Safety and Security Commission; Agence Nationale de la Recherche; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Calibration; Planet; Astrometry; Offset (computer science); Zenith; Photometry (optics); Position (finance); Exoplanet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002054958,0.0001177799,0.0003282215,0.00004747179,0.00005828721,0.0000731763,0.000279931,0.00002504232,0.0001146265],"category_scores_gemma":[0.00001082965,0.00007316898,0.00007550966,0.0001412675,0.00008214699,0.0002610751,0.00005961702,0.0001929934,0.000002812957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100829,"about_ca_system_score_gemma":0.00006986439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000339976,"about_ca_topic_score_gemma":8.679579e-8,"domain_scores_codex":[0.9988034,0.00008574948,0.0006069771,0.0001198582,0.0002307868,0.0001532438],"domain_scores_gemma":[0.9990454,0.00004487725,0.0006223973,0.00009877841,0.00003177968,0.0001567349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001030479,0.00005642399,0.9590724,0.00004467446,0.0001417547,8.278969e-7,0.0001839743,0.00228329,0.005547137,0.0004347392,0.002054637,0.03007714],"study_design_scores_gemma":[0.007243118,0.00279849,0.8632526,0.0008129188,0.0003760179,0.00007391532,0.004936223,0.0595328,0.007546916,0.00006594123,0.05242259,0.0009384946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959869,0.00008456885,0.002909549,0.0001404495,0.000304069,0.0001397263,0.00009616513,0.000002114066,0.0003364153],"genre_scores_gemma":[0.998265,0.000002470783,0.001281184,0.00002276447,0.000387712,6.650508e-7,0.00001028578,0.000005342715,0.0000245822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09581977,"threshold_uncertainty_score":0.2983744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329230245020874,"score_gpt":0.2086260966388057,"score_spread":0.195333794188597,"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."}}