{"id":"W4403497280","doi":"10.3847/1538-3881/ad77d2","title":"Discovery of 118 New Ultracool Dwarf Candidates Using Machine-learning Techniques","year":2024,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Espace pour la vie","funders":"Science and Technology Facilities Council; Planetary Science Division; Science Mission Directorate; Jet Propulsion Laboratory; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Queen's University; Space Telescope Science Institute; Johns Hopkins University; Los Alamos National Laboratory; University of Arizona; National Central University; Gordon and Betty Moore Foundation; European Space Agency; National Science Foundation; Yale University; Queen's University Belfast; Eötvös Loránd Tudományegyetem; California Institute of Technology; National Aeronautics and Space Administration; Durham University; Smithsonian Institution","keywords":"Physics","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":[0.000734806,0.0002540118,0.0004349971,0.002535608,0.0005986873,0.0007523463,0.0004267348,0.0003302198,0.0005570241],"category_scores_gemma":[0.001475464,0.000140531,0.0003497289,0.00130794,0.000286235,0.000291073,0.0006478599,0.0002138435,0.000361381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325526,"about_ca_system_score_gemma":0.0002954302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310005,"about_ca_topic_score_gemma":0.002724845,"domain_scores_codex":[0.9996721,0.00003881277,0.00002878245,0.00008277775,0.0001182253,0.00005931576],"domain_scores_gemma":[0.9986954,0.0003641878,0.0003393212,0.0001731322,0.0001953494,0.0002326347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005177959,0.0001348564,0.8550387,0.00007170399,0.0001044287,0.001799375,0.0003867331,0.003607752,0.05379106,0.001104505,0.0008705409,0.08257257],"study_design_scores_gemma":[0.00006660052,0.0003673069,0.8577431,0.0000336145,0.0001248029,0.002817623,0.0006217945,0.09088908,0.03564605,0.002017716,0.009615532,0.00005685024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935111,0.0001472482,0.005426367,0.00003219677,0.00000935814,0.00001516466,0.0001859129,0.00009725921,0.0005753256],"genre_scores_gemma":[0.9915349,0.00003313127,0.007548057,0.0000134552,0.00001088437,0.000008994222,0.0005611256,0.000009293609,0.0002801537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002535608,"threshold_uncertainty_score":0.003886044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180599291995956,"score_gpt":0.2477552675268897,"score_spread":0.2359492746069301,"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."}}