{"id":"W4385278705","doi":"10.1093/mnras/stad2177","title":"Constraints on galaxy formation from the cosmic-far-infrared-background – optical-imaging cross-correlation using <i>Herschel</i> and UNIONS","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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; Herzberg Institute of Astrophysics; University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; California Department of Fish and Game; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Compute Canada; Canadian Space Agency; National Aeronautics and Space Administration","keywords":"Physics; Astrophysics; Cosmic infrared background; Galaxy; Surface brightness; Luminous infrared galaxy; Astronomy; Star formation; Far infrared; Cirrus; COSMIC cancer database; Infrared; Brightness; Active galactic nucleus; Cosmic microwave background","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001985669,0.0003653526,0.0002832456,0.001565445,0.0003004548,0.001078065,0.0005559307,0.0002889952,0.002209186],"category_scores_gemma":[0.004976533,0.0002466993,0.0004541005,0.001129623,0.0003798257,0.0005924476,0.0008085565,0.0002760558,0.000446767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007651071,"about_ca_system_score_gemma":0.0003248763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252575,"about_ca_topic_score_gemma":0.03291251,"domain_scores_codex":[0.99865,0.0003637134,0.00007287962,0.0003290248,0.0003477721,0.0002366363],"domain_scores_gemma":[0.9939077,0.00221582,0.001644913,0.001002365,0.0006360787,0.0005930706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001467018,0.00002761286,0.9843723,0.00001434586,0.0001893775,0.00005034273,0.00008172172,0.002753906,0.004595793,0.0008597588,0.0005714914,0.006336753],"study_design_scores_gemma":[0.000005097708,0.00001653142,0.9906848,0.000006775164,0.0000242103,0.00003638833,0.00003814391,0.006842223,0.001819299,0.0001248481,0.0003933329,0.00000831819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916884,0.0001081986,0.002710384,0.0000382003,0.000003866037,0.000005637548,0.0011792,0.00008847267,0.004177629],"genre_scores_gemma":[0.996568,0.00001940129,0.0008980879,0.00001227546,0.000007754364,0.000003895719,0.002297027,0.00002506003,0.0001685479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02252575,"threshold_uncertainty_score":0.04478931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356002627378986,"score_gpt":0.2305384267525022,"score_spread":0.2169784004787124,"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."}}