{"id":"W4393315958","doi":"10.1093/mnras/stae902","title":"<i>Quasar Island</i> – three new <i>z</i> ∼ 6 quasars, including a lensed candidate, identified with contrastive learning","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; European Southern Observatory; Max-Planck-Institut für Astronomie; Institut sur la Nutrition et les Aliments Fonctionnels; National Science Foundation; Korea Astronomy and Space Science Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Physics; Quasar; Astrophysics; OVV quasar; Astronomy; Galaxy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000269255,0.0003714284,0.0004950977,0.00002558929,0.0003740553,0.0002495526,0.00060996,0.00006511256,0.00027544],"category_scores_gemma":[0.00001298011,0.0002480305,0.0006353616,0.0002542821,0.0003751455,0.0002575298,0.0004062622,0.0009776586,0.00004522783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093896,"about_ca_system_score_gemma":0.0003737778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475089,"about_ca_topic_score_gemma":0.0001109671,"domain_scores_codex":[0.9977751,0.0001040451,0.0004252705,0.0005636219,0.0004269978,0.0007050011],"domain_scores_gemma":[0.9987769,0.0003979957,0.0001975528,0.0003247128,0.000065095,0.0002377119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004381936,0.0002974763,0.1702117,0.00007386259,0.001690147,0.000001747643,0.001258643,0.7643822,0.0006070415,0.001053771,0.006307009,0.05367811],"study_design_scores_gemma":[0.003181587,0.000618879,0.04806686,0.0007578064,0.0005214331,5.061608e-8,0.002208176,0.9196396,0.01215265,0.0003154488,0.01155886,0.0009786347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671543,0.0001230601,0.02931234,0.0005045924,0.0001945013,0.000438959,0.0001441415,0.00006462929,0.002063507],"genre_scores_gemma":[0.9965165,1.169532e-7,0.001391139,0.00001430605,0.0006914431,0.00002762161,0.00004310733,0.00004744415,0.001268334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1552574,"threshold_uncertainty_score":0.9999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154779498439637,"score_gpt":0.2398753343135571,"score_spread":0.2283275393291607,"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."}}