{"id":"W2169309103","doi":"10.1051/0004-6361/200811413","title":"Photometric redshifts for the CFHTLS T0004 deep and wide fields","year":2009,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Redshift; Physics; Photometry (optics); Photometric redshift; Astrophysics; Galaxy; Stars; Outlier; Astronomy; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000128828,0.0002228983,0.0002087145,0.00007266195,0.000455876,0.0001353876,0.0001621138,0.00003570841,0.00004417032],"category_scores_gemma":[0.000006942113,0.0001825866,0.00009154899,0.000234327,0.00008830873,0.0003748701,0.00004743021,0.0001634261,0.000008887213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002023793,"about_ca_system_score_gemma":0.00003367011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003693861,"about_ca_topic_score_gemma":0.000001343596,"domain_scores_codex":[0.9989924,0.00002531514,0.0002447904,0.000255541,0.0001169006,0.000365072],"domain_scores_gemma":[0.9992631,0.0001673987,0.0001415763,0.0002531517,0.0000668455,0.0001079475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004892449,0.0001622172,0.5588242,0.00001653213,0.0001714735,1.587616e-8,0.001108853,0.0003579773,0.00007473216,0.0282937,0.0005798896,0.4103615],"study_design_scores_gemma":[0.0007931191,0.0002204881,0.9813102,0.00001025042,0.00006950204,6.366049e-7,0.0006527252,0.001436016,0.0002341887,0.007690914,0.007366475,0.0002154171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991913,0.0001263552,0.2996756,0.0003258437,0.0000737173,0.0003446465,0.00002237139,0.00002411744,0.0002160251],"genre_scores_gemma":[0.9869197,0.00000749928,0.01247321,0.00002249778,0.0003492229,0.00005282907,0.00004695684,0.00001390542,0.0001141575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4224861,"threshold_uncertainty_score":0.7445667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062867835395638,"score_gpt":0.2026612450139381,"score_spread":0.1965983771785425,"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."}}