{"id":"W4386980147","doi":"10.1093/mnras/stad2870","title":"An <i>HST</i> survey of 33 T8 to Y1 brown dwarfs: NIR photometry and multiplicity of the coldest isolated objects","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Space Telescope Science Institute; Fondation familiale Trottier; National Science Foundation","keywords":"Physics; Brown dwarf; Astrophysics; Photometry (optics); Stellar classification; Astronomy; Low Mass; Stellar mass; Mass ratio; Population; Binary number; Stars; Star formation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001646147,0.0001331237,0.0001610662,0.0008134197,0.0003490953,0.0002607554,0.00015011,0.0001128164,0.001287936],"category_scores_gemma":[0.0002997369,0.000067874,0.00008045627,0.0004708491,0.0001818233,0.0001896062,0.0003632968,0.0001225377,0.0005561538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812445,"about_ca_system_score_gemma":0.0001539763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008914198,"about_ca_topic_score_gemma":0.01622841,"domain_scores_codex":[0.9999113,0.00001030518,0.000004872798,0.00002690634,0.0000207487,0.00002583255],"domain_scores_gemma":[0.9995128,0.00004817772,0.000159746,0.00003502625,0.00007863324,0.0001656098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006894855,0.00002486785,0.9849544,0.000008180495,0.000009210454,0.00008588498,0.0002916217,0.00005600006,0.01101597,0.00003008774,0.0001141526,0.00334065],"study_design_scores_gemma":[0.000001607683,0.00003088552,0.9988663,0.00000114166,0.000003124809,0.00009327173,0.0001234063,0.00008352908,0.0005377836,0.000007108923,0.0002509085,9.650332e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997004,0.00001265466,0.00002702569,0.000003453924,2.1056e-7,0.000001067637,0.0000999135,0.000002960599,0.0001523335],"genre_scores_gemma":[0.9991999,0.00002032019,0.0001036741,0.00000466866,0.000002367104,0.000002682362,0.0004168892,0.000002014963,0.000247486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008914198,"threshold_uncertainty_score":0.01772463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258890356686934,"score_gpt":0.2265073734707755,"score_spread":0.2139184699039061,"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."}}