{"id":"W4416914199","doi":"10.3847/1538-4357/ae145f","title":"Discovery of a Little Red Dot Candidate at <i>z</i>  ≳ 10 in COSMOS-web Based on MIRI-NIRCam Selection","year":2025,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Agencia Nacional de Investigación y Desarrollo; Ministry of Education, Culture, Sports, Science and Technology; Centre National d’Etudes Spatiales; European Commission; National Natural Science Foundation of China; National Research Foundation; Astronomical Society of Japan; Danmarks Grundforskningsfond; National Aeronautics and Space Administration; Deutsche Forschungsgemeinschaft; Space Telescope Science Institute; National Science Foundation","keywords":"Photometry (optics); James Webb Space Telescope; Population; Supermassive black hole; Selection (genetic algorithm); Predictability","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":[0.0004838887,0.0003470314,0.0005102971,0.001996365,0.0008569048,0.001215659,0.0004770708,0.0004479002,0.002978886],"category_scores_gemma":[0.0004791259,0.0002583087,0.0005100323,0.00107769,0.0003285792,0.0003019448,0.001002737,0.0003092878,0.001483268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820489,"about_ca_system_score_gemma":0.0001687824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084527,"about_ca_topic_score_gemma":0.00437825,"domain_scores_codex":[0.9997107,0.00001588129,0.00001268287,0.00009837263,0.0000762651,0.00008606503],"domain_scores_gemma":[0.9991909,0.00007081728,0.0001832974,0.0000900921,0.0001004526,0.0003645536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006689377,0.0002157765,0.8583915,0.0001452409,0.0001809074,0.005834473,0.000585646,0.0004607624,0.09394007,0.001580677,0.008812707,0.02918341],"study_design_scores_gemma":[0.00006734728,0.0001303613,0.9600019,0.0000312598,0.0001578743,0.003031236,0.0004385722,0.005411359,0.01724338,0.0004172368,0.01302735,0.00004218924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904125,0.0003437175,0.002441722,0.0001611488,0.00004877791,0.00003681441,0.000916579,0.0004491081,0.005189605],"genre_scores_gemma":[0.9946661,0.00004324859,0.002277378,0.0001265672,0.00002919714,0.00001535619,0.001706063,0.00006752432,0.001068567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002978886,"threshold_uncertainty_score":0.00996536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006974562934420476,"score_gpt":0.2283283882113773,"score_spread":0.2213538252769568,"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."}}