{"id":"W4407743851","doi":"10.1088/1475-7516/2025/02/045","title":"Measuring σ <sub>8</sub> using DESI Legacy Imaging Surveys Emission-Line galaxies and Planck CMB lensing, and the impact of dust on parameter inference","year":2025,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; Perimeter Institute; University of Waterloo; University of Toronto","funders":"","keywords":"Physics; Cosmic microwave background; Planck; Galaxy; Dark energy; Astrophysics; Cosmology; Weak gravitational lensing; Astronomy; Inference; Redshift; Anisotropy; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002823646,0.0004658072,0.0002118615,0.0009270767,0.000242654,0.001133756,0.0005155843,0.0003795417,0.0006681214],"category_scores_gemma":[0.01176815,0.0002632913,0.000411684,0.0009545775,0.0004362828,0.0006980691,0.0006508779,0.0003562536,0.0001518881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360494,"about_ca_system_score_gemma":0.0003468398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215387,"about_ca_topic_score_gemma":0.01747528,"domain_scores_codex":[0.9994053,0.0002228785,0.00004367427,0.0001407039,0.0001315485,0.00005586727],"domain_scores_gemma":[0.9915485,0.005373706,0.001542491,0.000782561,0.0004474201,0.0003053356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001035171,0.00002229809,0.950742,0.00002849721,0.000259129,0.00007339942,0.00009419541,0.0283399,0.004029724,0.001044438,0.0003003009,0.01496253],"study_design_scores_gemma":[0.00001981044,0.0000511471,0.8588515,0.0000252485,0.0001288332,0.0001233946,0.000149514,0.1293771,0.008157244,0.001984426,0.001102148,0.00002966503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909265,0.0001008593,0.007365084,0.0001141823,0.00000501589,0.000005534374,0.0004552279,0.0001299416,0.0008977443],"genre_scores_gemma":[0.9949969,0.00003458158,0.004335446,0.00002725069,0.00001067675,0.00000345344,0.0004717426,0.00002476313,0.00009527522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215387,"threshold_uncertainty_score":0.02416623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672846000621109,"score_gpt":0.2980582892585416,"score_spread":0.2713298292523305,"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."}}