{"id":"W2103067535","doi":"10.1111/j.1365-2966.2005.08915.x","title":"Calibrating photometric redshifts of luminous red galaxies","year":2005,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Photometric redshift; Redshift; Physics; Astrophysics; Galaxy; Photometry (optics); Sky; Cosmology; Redshift survey; Deconvolution; Hubble Deep Field; Astronomy; Stars; 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":[0.004253971,0.0005899947,0.0005542303,0.005540046,0.0005000095,0.00166397,0.000858381,0.0007273115,0.001340247],"category_scores_gemma":[0.01104706,0.0007234325,0.0005523902,0.003941423,0.0005643621,0.001264333,0.001468023,0.0007040167,0.00140413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155198,"about_ca_system_score_gemma":0.0007128539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005158,"about_ca_topic_score_gemma":0.01358117,"domain_scores_codex":[0.9988375,0.000287341,0.0000686303,0.000280203,0.0003879049,0.0001383783],"domain_scores_gemma":[0.9956904,0.0008425669,0.001045189,0.001545752,0.0006837932,0.000192226],"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":[0.0001101153,0.0001697379,0.6256255,0.0001329702,0.0002003965,0.00006317504,0.0005800202,0.07368947,0.01830892,0.01972134,0.004033077,0.2573653],"study_design_scores_gemma":[0.00006085591,0.00008019111,0.7822362,0.00006397357,0.000106284,0.0002322984,0.0001980013,0.1598264,0.0215362,0.01946967,0.01607855,0.0001115851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5509484,0.001368239,0.4311118,0.0003338799,0.00008641066,0.0001362093,0.003406065,0.00436882,0.008240155],"genre_scores_gemma":[0.7684002,0.0007839462,0.2217059,0.000130921,0.00009506725,0.00009350914,0.006314134,0.0003915741,0.002084773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005158,"threshold_uncertainty_score":0.02249742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007092753155913021,"score_gpt":0.1972533055059213,"score_spread":0.1901605523500083,"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."}}