{"id":"W4283447066","doi":"10.1051/0004-6361/202243604","title":"<i>Euclid</i>preparation","year":2022,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia; National Astronomical Observatory of Japan; Norsk Romsenter; Agenția Spațială Română; Ministerio de Ciencia e Innovación; National Aeronautics and Space Administration; California Institute of Technology; European Space Agency; Agenzia Spaziale Italiana; Jet Propulsion Laboratory; Staatssekretariat für Bildung, Forschung und Innovation; Deutsche Forschungsgemeinschaft","keywords":"Physics; Redshift; Astrophysics; Galaxy; Cosmology; Weak gravitational lensing; Calibration; Redshift survey; Photometric redshift; Astronomy","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":[0.002476711,0.001125274,0.001015702,0.002718122,0.001135385,0.002629421,0.002542634,0.0005894515,0.2482031],"category_scores_gemma":[0.0108533,0.0005832293,0.0008755665,0.004132963,0.0005893846,0.001231958,0.002250704,0.001421963,0.2378017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658581,"about_ca_system_score_gemma":0.002365992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009727824,"about_ca_topic_score_gemma":0.0141281,"domain_scores_codex":[0.9979474,0.0004508939,0.0001927307,0.0004089227,0.0008031363,0.0001969605],"domain_scores_gemma":[0.9916897,0.0006450164,0.0003049868,0.003068652,0.003624381,0.0006672906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001887638,0.00001203049,0.0003781573,0.0001638834,0.00001256493,0.00009451761,0.0000638261,0.0003612848,0.001022687,0.01169223,0.9637961,0.02221395],"study_design_scores_gemma":[0.00003818026,0.00001604221,0.001242233,0.00005928476,0.000003861736,0.0001126371,0.00003038099,0.0002904804,0.001111653,0.002364643,0.9947116,0.0000190913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004539096,0.001278158,0.05041839,0.00274541,0.007408762,0.001742087,0.6618506,0.01422353,0.255794],"genre_scores_gemma":[0.02360337,0.001418434,0.06225208,0.00157926,0.001528334,0.002132243,0.7666271,0.01142659,0.1294327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2482031,"threshold_uncertainty_score":0.8303219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008744665605835585,"score_gpt":0.2530628181271726,"score_spread":0.244318152521337,"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."}}