{"id":"W4403428160","doi":"10.3847/1538-3881/ad72ed","title":"Gemini High-resolution Optical Spectrograph (GHOST) at Gemini South: Instrument Performance and Integration, First Science, and Next Steps","year":2024,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"Agencia Nacional de Investigación y Desarrollo; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Macquarie University; Ministério da Ciência, Tecnologia, Inovações e Comunicações; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Physics; Spectrograph; Astronomy; High resolution; Optics; Remote sensing; Geography; Spectral line","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":[0.0006920359,0.000168985,0.0001465031,0.0001098879,0.0008363878,0.0006343891,0.0002881435,0.00002219402,0.0002150384],"category_scores_gemma":[0.000007736099,0.0001087715,0.00004272545,0.0002069108,0.0008574238,0.0004768627,0.0001836303,0.0004396126,0.000051787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008285769,"about_ca_system_score_gemma":0.0001434659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002414604,"about_ca_topic_score_gemma":0.000003183616,"domain_scores_codex":[0.9987003,0.00002448287,0.0002650189,0.0002936297,0.0002956132,0.000421021],"domain_scores_gemma":[0.9993894,0.00009450887,0.00007265197,0.0001477535,0.00004056602,0.0002551564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004230691,0.0001444619,0.5530081,0.00002667112,0.0002225798,0.000006302227,0.004436842,0.002846383,0.007738239,0.03568257,0.003041707,0.3924231],"study_design_scores_gemma":[0.0007527709,0.0007501086,0.8810215,0.0001496026,0.0001032966,0.0001702142,0.001667634,0.1077377,0.0009812894,0.0005331071,0.005745536,0.0003872935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953597,0.0001389427,0.002302134,0.001117861,0.0003192222,0.0001109432,0.00001712675,0.00001520328,0.000618899],"genre_scores_gemma":[0.9968557,0.00001597042,0.002429111,0.00002050126,0.0005668584,0.000003882618,0.000007884978,0.000007393762,0.00009269143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3920358,"threshold_uncertainty_score":0.6432903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00908261356377304,"score_gpt":0.1964911334660842,"score_spread":0.1874085199023112,"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."}}