{"id":"W2117431169","doi":"10.1111/j.1365-2966.2006.11305.x","title":"MegaZ-LRG: a photometric redshift catalogue of one million SDSS luminous red galaxies","year":2007,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physics; Redshift; Astrophysics; Photometric redshift; Galaxy; Quasar; Sky; Redshift survey; Astronomy; Limiting magnitude","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":[0.000717014,0.000545722,0.0006176514,0.005982116,0.0003304459,0.000847313,0.001380426,0.0004532157,0.01892613],"category_scores_gemma":[0.001691032,0.000364478,0.0005071384,0.005464175,0.0001506017,0.000732778,0.001492427,0.0006191354,0.01861562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005678488,"about_ca_system_score_gemma":0.0008224044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00799247,"about_ca_topic_score_gemma":0.01100069,"domain_scores_codex":[0.9995754,0.00004158116,0.00002920811,0.00008871857,0.0001894485,0.00007563619],"domain_scores_gemma":[0.9988789,0.00007015654,0.0001974105,0.0004203327,0.0002580486,0.0001751923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004827403,0.0003076968,0.1212685,0.000641996,0.0002079749,0.0003344722,0.0004876948,0.005620519,0.02033739,0.01867523,0.569676,0.2619597],"study_design_scores_gemma":[0.0001823199,0.0001037692,0.2812181,0.00008797879,0.00007265471,0.0005081477,0.00009290853,0.006187066,0.005815553,0.004852016,0.7008091,0.00007037316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09537718,0.001025532,0.05235727,0.0003231358,0.0001255751,0.0009023789,0.7956996,0.01666747,0.03752184],"genre_scores_gemma":[0.05279142,0.0003427403,0.05175298,0.0002295326,0.00008258809,0.0005436196,0.8847998,0.001149065,0.008308234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01892613,"threshold_uncertainty_score":0.06331414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008822765751723947,"score_gpt":0.2023910820987829,"score_spread":0.193568316347059,"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."}}