{"id":"W3120584695","doi":"10.1093/mnras/stab055","title":"PHANGS–<i>HST</i>: star cluster spectral energy distribution fitting with <scp>cigale</scp>","year":2021,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; European Research Council; Ministerio de Economía y Competitividad; Natural Sciences and Engineering Research Council of Canada; California Institute of Technology; European Commission; Horizon 2020 Framework Programme; Jet Propulsion Laboratory; Keck Institute for Space Studies; European Southern Observatory; Deutsche Forschungsgemeinschaft; Space Telescope Science Institute; National Aeronautics and Space Administration","keywords":"Physics; Astrophysics; Spectral energy distribution; Galaxy; Star cluster; Astronomy; Star formation; Stellar population; Cluster (spacecraft)","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":[0.001032498,0.001145505,0.0005164007,0.001244597,0.0005408002,0.001081548,0.001869049,0.0005369643,0.04016104],"category_scores_gemma":[0.003477936,0.0005543769,0.001178894,0.001550025,0.000238476,0.0007074249,0.0007308564,0.001018607,0.01659946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006645829,"about_ca_system_score_gemma":0.000720528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161441,"about_ca_topic_score_gemma":0.01703242,"domain_scores_codex":[0.9996897,0.00003427811,0.00002553579,0.00008314665,0.0001175223,0.00004988197],"domain_scores_gemma":[0.9989091,0.000247326,0.0001260901,0.0003493239,0.0003006865,0.00006743464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006352136,0.0004655513,0.05779722,0.0006578817,0.0005572177,0.0009739361,0.0005922011,0.1310836,0.01981553,0.005744692,0.6370908,0.1445861],"study_design_scores_gemma":[0.0001963129,0.00008277003,0.07459608,0.00009006812,0.00006440574,0.000364643,0.0001456611,0.7503853,0.04653563,0.003491306,0.1238752,0.0001726409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1065876,0.0001562541,0.1927668,0.0002804782,0.0002530762,0.0003362414,0.1128194,0.5670229,0.01977735],"genre_scores_gemma":[0.3861836,0.0002018198,0.2747138,0.0005031532,0.0001111912,0.0007981958,0.2320348,0.09231978,0.01313372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04016104,"threshold_uncertainty_score":0.1343521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004248107750773084,"score_gpt":0.1752462412989308,"score_spread":0.1709981335481578,"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."}}