{"id":"W3104948079","doi":"","title":"The Atacama Cosmology Telescope: CO(J = 3 - 2) Mapping and Lens Modeling of an ACT-selected Dusty Star-forming Galaxy","year":2019,"lang":"en","type":"article","venue":"MPG.PuRe (Max Planck Society)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut national des sciences de l'Univers; Comisión Nacional de Investigación Científica y Tecnológica; Centre National de la Recherche Scientifique; University of British Columbia; University of Pennsylvania; Princeton University; Max-Planck-Gesellschaft; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Gravitational lens; South Pole Telescope; Luminosity; Gravitational microlensing; Submillimeter Array; Line (geometry); Telescope; Cosmology; Star formation; Galaxy cluster; Redshift; Geometry","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":[0.0004778805,0.00038881,0.0003551311,0.0004781202,0.0005167333,0.0009066111,0.0008796305,0.0009672795,0.001642603],"category_scores_gemma":[0.0008296643,0.0003047132,0.0006629034,0.0007441776,0.0002720833,0.0005867128,0.0005326833,0.0004496055,0.0004169168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507536,"about_ca_system_score_gemma":0.001161044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08521597,"about_ca_topic_score_gemma":0.04290065,"domain_scores_codex":[0.9998735,0.00002708631,0.00000494603,0.00003981263,0.00002801,0.00002669503],"domain_scores_gemma":[0.9995127,0.0001007957,0.000099546,0.00006352718,0.00007890374,0.0001445979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004472393,0.0001664045,0.1830201,0.0001823157,0.000470869,0.0004932054,0.0003856985,0.7418588,0.01097227,0.01817779,0.02320341,0.02062194],"study_design_scores_gemma":[0.0001316676,0.00003279298,0.1020258,0.0000156674,0.00007033037,0.0001184772,0.00007976827,0.8858297,0.001143789,0.004774426,0.005736353,0.0000412748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306183,0.001275375,0.02663858,0.003154656,0.0001453209,0.00007367202,0.007408854,0.001555479,0.0291298],"genre_scores_gemma":[0.9873012,0.0002363705,0.008570367,0.0001589675,0.00005765965,0.00002410075,0.00162751,0.0001975624,0.001826264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08521597,"threshold_uncertainty_score":0.16944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075708176932503,"score_gpt":0.2110537912891716,"score_spread":0.2002967095198466,"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."}}