{"id":"W7025303307","doi":"","title":"The Type Ia Supernova Rate at z ≈ 0.5 from the Supernova Legacy Survey**Based on observations obtained with MegaPrime/MegaCam, a joint project of the Canada-France-Hawaii Telescope (CFHT) and CEA/DAPNIA, at CFHT, which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences de l’Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at the Canadian Astronomy Data Centre as part of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. This work is also based on observations obtained at the European Southern Observatory using the Very Large Telescope on the Cerro Paranal (ESO Large Program 171.A-0486), and on observations (programs GN-2004A-Q-19, GS-2004A-Q-11, GN-2003B-Q-9, and GS-2003B-Q-8) obtained at the Gemini Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under a cooperative agreement with the National Science Foundation (NSF) on behalf of the Gemini partnership: the NSF (United States), the Particle Physics and Astronomy Research Council (United Kingdom), the National Research Council (Canada), CONICYT (Chile), the Australian Research Council (Australia), CNPq (Brazil), and CONICET (Argentina). This work is also based on observations obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation.","year":2020,"lang":"en","type":"other","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Supernova; Joint (building); Telescope; Type (biology); Luminosity","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":["metaresearch","metaepi_narrow","sts","open_science"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.09388936,0.0007084712,0.0006815758,0.0001540753,0.01496388,0.000736214,0.005844632,0.000265083,0.00005362874],"category_scores_gemma":[0.01371329,0.0002474012,0.0001120946,0.01259628,0.02648998,0.0004597451,0.00199571,0.002173746,3.75781e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00794545,"about_ca_system_score_gemma":0.1211124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6333538,"about_ca_topic_score_gemma":0.9777452,"domain_scores_codex":[0.9655679,0.01741916,0.001244595,0.001453609,0.01314235,0.001172363],"domain_scores_gemma":[0.9390574,0.02384165,0.001878599,0.002852786,0.03222331,0.0001462975],"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":[0.004761747,0.0009756927,0.2574885,0.0002485141,0.001637268,0.000001697634,0.04099339,0.02427234,0.0007628369,0.01766037,0.650985,0.0002126032],"study_design_scores_gemma":[0.007579938,0.0007453582,0.4321633,0.001316917,0.0005051013,0.000009224887,0.06217972,0.1206709,0.002552997,0.0002780004,0.3711785,0.0008200768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948288,0.0003290539,0.00001889656,0.1849902,0.0001123074,0.009203771,0.01007758,0.000009984914,0.0004294267],"genre_scores_gemma":[0.9932259,0.0001114544,0.0001104712,0.002587424,0.00006604687,0.000226245,0.0003521211,0.00005982908,0.00326045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3443914,"threshold_uncertainty_score":0.9999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3393736433949001,"score_gpt":0.3493407303856977,"score_spread":0.009967086990797569,"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."}}