{"id":"W4298856267","doi":"10.1051/0004-6361:20011051","title":"The Canada-France deep fields survey","year":2001,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of Toronto","funders":"Centre National de la Recherche Scientifique; National Science Foundation","keywords":"Galaxy; Magnitude (astronomy); Flattening; Physics; Astrophysics; Redshift; Range (aeronautics); Population; Bin; Astronomy; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005618165,0.0005805145,0.0004784233,0.002981468,0.001419549,0.001195225,0.0009933553,0.0004090148,0.01809875],"category_scores_gemma":[0.001088644,0.0001877611,0.0002952275,0.00359728,0.0002751442,0.0004986998,0.0009534995,0.0006891881,0.004060729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01378534,"about_ca_system_score_gemma":0.01921597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9718949,"about_ca_topic_score_gemma":0.9854672,"domain_scores_codex":[0.9994141,0.00004178209,0.00001558682,0.0001118365,0.0002359794,0.0001807025],"domain_scores_gemma":[0.9987705,0.00003929467,0.00009481759,0.00005980145,0.0008011248,0.0002343662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002147402,0.0000903676,0.2063678,0.0002664032,0.0001834386,0.0004423872,0.0005180489,0.0009445328,0.0007132176,0.01354591,0.7132038,0.06350949],"study_design_scores_gemma":[0.00009847181,0.00002117025,0.4956048,0.0001573276,0.00003333532,0.0001772163,0.0007731839,0.00132805,0.000388116,0.0007900877,0.5005858,0.00004241695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09509415,0.003029718,0.001225802,0.004256429,0.0001965999,0.0002180733,0.8127153,0.0005472521,0.08271674],"genre_scores_gemma":[0.290014,0.003438348,0.006846063,0.001598887,0.0001608956,0.0004316125,0.50196,0.0002339999,0.1953162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02810508,"threshold_uncertainty_score":0.1000201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004875489016289499,"score_gpt":0.1802168347989899,"score_spread":0.1753413457827004,"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."}}