{"id":"W2106468666","doi":"10.1051/0004-6361/200912446","title":"Photometric calibration of the Supernova Legacy Survey fields","year":2009,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto","funders":"Science and Technology Facilities Council","keywords":"Physics; Dark energy; Calibration; Stars; Astrophysics; Flux (metallurgy); Supernova; Astronomy; Magnitude (astronomy); Photometer; Vega; Telescope; Remote sensing; Cosmology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009915953,0.0001722409,0.0002226159,0.00005126326,0.0001378166,0.00007749315,0.0002068019,0.00003564668,0.0001107936],"category_scores_gemma":[0.000003872026,0.0001285752,0.0001173812,0.0003975344,0.00006824934,0.000321663,0.00005399574,0.000185959,0.000002902519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007379043,"about_ca_system_score_gemma":0.00005305135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004884604,"about_ca_topic_score_gemma":0.000004038586,"domain_scores_codex":[0.9990995,0.000057599,0.0002428947,0.0002109845,0.0001498399,0.0002392037],"domain_scores_gemma":[0.999442,0.00004772955,0.0001012875,0.0002814881,0.00006368123,0.00006383817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000178916,0.0001599253,0.6674601,0.0000035598,0.00004284493,1.77217e-7,0.000120135,0.0001523148,0.0009676898,0.002107862,0.0002505832,0.3287169],"study_design_scores_gemma":[0.0005712353,0.0001692169,0.9833425,0.00001765137,0.00003123349,4.729692e-7,0.0002296823,0.0001292075,0.01051287,0.0007587154,0.004032881,0.0002043767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838556,0.00002485092,0.114996,0.000173333,0.00009390682,0.0001357079,0.00004884062,0.000009939309,0.0006618506],"genre_scores_gemma":[0.9970521,0.00000103807,0.002511653,0.00004610936,0.0002039895,0.000003589488,0.00004764687,0.000009540357,0.000124359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3285125,"threshold_uncertainty_score":0.5243145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256641758238313,"score_gpt":0.2217900602357921,"score_spread":0.209223642653409,"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."}}