{"id":"W4385972514","doi":"10.1093/mnras/stad2470","title":"Dwarf galaxy discoveries from the KMTNet supernova programme – III. The Milky-Way analogue NGC 2997 group","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; H2020 LEIT Information and Communication Technologies; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Astronomy and Space Science Institute","keywords":"Physics; Astrophysics; Dwarf galaxy; Astronomy; Spiral galaxy; Galaxy; Milky Way; Dwarf spheroidal galaxy; Gravitational microlensing; Population; Supernova; Galaxy group; Galaxy formation and evolution; Interacting galaxy","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":[0.000251234,0.000139966,0.0001775639,0.001692564,0.0005393416,0.0005235985,0.0002585684,0.0001773307,0.001557231],"category_scores_gemma":[0.0003877492,0.0000524939,0.0001882941,0.0005563065,0.0002797812,0.0001804702,0.0006542316,0.0001262673,0.000472197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269695,"about_ca_system_score_gemma":0.0001885138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005468367,"about_ca_topic_score_gemma":0.009074865,"domain_scores_codex":[0.9997603,0.00001792871,0.00002210084,0.0000530106,0.00008948281,0.00005717382],"domain_scores_gemma":[0.9995364,0.00002600041,0.0001355868,0.00004705741,0.00008122638,0.0001736883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001367685,0.00002683067,0.9836029,0.0000135888,0.00004354649,0.001206586,0.0002185746,0.00004431213,0.007595468,0.0002742526,0.0004841887,0.006353145],"study_design_scores_gemma":[0.000005345767,0.0000305803,0.9947405,0.00000657735,0.00001977422,0.001339183,0.0002154571,0.000120028,0.0007381205,0.00009043093,0.00269081,0.000003327341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977259,0.0001025521,0.00005672392,0.00002195618,0.000005665648,0.000003749607,0.000267564,0.000007128177,0.001808652],"genre_scores_gemma":[0.9983689,0.00004977038,0.00007995706,0.0000142052,0.000008817208,0.000003312043,0.001095705,0.000002932542,0.0003764213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005468367,"threshold_uncertainty_score":0.01087308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039204863779957,"score_gpt":0.2005765420760706,"score_spread":0.190184493438271,"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."}}