{"id":"W4394594747","doi":"10.1093/mnras/stae972","title":"Pushing the limits of near-infrared photometry with the Gemini Multi-Conjugate Adaptive Optics System: study of crowded fields in the globular cluster M5","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria; Herzberg Institute of Astrophysics","funders":"Agencia Nacional de Investigación y Desarrollo; National Science Foundation; Korea Astronomy and Space Science Institute; Ministério da Ciência, Tecnologia, Inovações e Comunicações; National Research Council; Ministerio de Ciencia, Tecnología e Innovación Productiva","keywords":"Physics; Globular cluster; Photometry (optics); Astronomy; Adaptive optics; Astrophysics; Near-infrared spectroscopy; Infrared; Optics; Stars","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":[0.0008704843,0.0002060781,0.0002245709,0.001102697,0.0005213509,0.0007225871,0.0003391367,0.0002019626,0.0004653852],"category_scores_gemma":[0.001912785,0.0001459078,0.0001931145,0.0007681975,0.0004709718,0.0007960094,0.001140222,0.0001728944,0.0001148988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006978053,"about_ca_system_score_gemma":0.0002607984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603513,"about_ca_topic_score_gemma":0.01795631,"domain_scores_codex":[0.9996629,0.00006817503,0.00001635201,0.00009406001,0.00009786712,0.00006075068],"domain_scores_gemma":[0.998934,0.0002461724,0.000291222,0.0001578579,0.0001566471,0.0002140946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001728866,0.00003381803,0.9567849,0.00003259944,0.0001018122,0.0002190536,0.001581829,0.006223189,0.01408767,0.001425326,0.0003487893,0.01898811],"study_design_scores_gemma":[0.000002565196,0.00002671104,0.9891967,0.000009864246,0.00001255666,0.00005699845,0.0004740162,0.007872947,0.001272342,0.0003984732,0.0006670837,0.000009680162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984115,0.00007838908,0.001018984,0.00002872533,0.000001368204,0.000002489511,0.00006911172,0.00001034468,0.0003790366],"genre_scores_gemma":[0.9990537,0.00002145302,0.000673849,0.000009435734,0.000004923783,0.000001164176,0.0001265244,0.000005460312,0.0001035826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603513,"threshold_uncertainty_score":0.0318836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538417386686328,"score_gpt":0.2282472968496812,"score_spread":0.2128631229828179,"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."}}