{"id":"W3134830612","doi":"10.1051/0004-6361/201936851","title":"A group finder algorithm optimised for the study of local galaxy environments","year":2021,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Smithsonian Astrophysical Observatory; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; University of Oxford; York University; Carnegie Institution for Science; Leibniz-Gemeinschaft; University of Notre Dame; Carnegie Mellon University; Universidad Nacional Autónoma de México; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; Ohio State University; Carnegie Institution of Washington; National Science Foundation; U.S. Department of Energy; Smithsonian Institution; Max-Planck-Institut für Astrophysik; California Institute of Technology; Ministério da Ciência, Tecnologia e Inovação; National Aeronautics and Space Administration; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University","keywords":"Physics; Galaxy; Astrophysics; Galaxy group; Smoothing; Algorithm; Outlier; Group (periodic table); Kernel (algebra); Galaxy cluster; Artificial intelligence; Computer science; Statistics; Mathematics; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002032617,0.001194004,0.001502998,0.002078384,0.001133508,0.001293605,0.002696362,0.002123016,0.00840706],"category_scores_gemma":[0.005881316,0.0008292016,0.001516643,0.001621707,0.0008924259,0.001689538,0.002255448,0.001802569,0.004571928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006860815,"about_ca_system_score_gemma":0.001364128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003565105,"about_ca_topic_score_gemma":0.005085629,"domain_scores_codex":[0.9989666,0.0001676352,0.00006281204,0.0003668448,0.0003359613,0.0001002296],"domain_scores_gemma":[0.9985789,0.0005367293,0.0001335782,0.0003240391,0.000345108,0.00008163028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008633444,0.0002732725,0.00712035,0.0004757248,0.0005392766,0.0004560056,0.001048931,0.09730212,0.0375594,0.01966925,0.0342267,0.8004656],"study_design_scores_gemma":[0.0003060349,0.0002271711,0.002955124,0.00004808637,0.00009230061,0.0005251866,0.0001982112,0.9130468,0.01822024,0.01777866,0.04653573,0.00006651551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00837236,0.0001160055,0.9787982,0.00007731765,0.00007919958,0.0001687076,0.0003484371,0.01097433,0.001065466],"genre_scores_gemma":[0.02051838,0.00003296539,0.9751382,0.0000484504,0.00001991748,0.000227769,0.0007801956,0.0007230599,0.002510954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00840706,"threshold_uncertainty_score":0.02812439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007297151848754674,"score_gpt":0.1984747887755635,"score_spread":0.1911776369268088,"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."}}