{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001292727,0.0002532136,0.0002559659,0.00006823966,0.0009875139,0.0000952882,0.0002813894,0.00001442394,0.001769348],"category_scores_gemma":[0.000001496402,0.0002763878,0.0001445647,0.0002425044,0.0001199797,0.0003182903,0.000525452,0.0005244967,0.00006992698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004121294,"about_ca_system_score_gemma":0.00009766671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008726756,"about_ca_topic_score_gemma":2.841464e-7,"domain_scores_codex":[0.9982787,0.0001197826,0.0002582375,0.0004666494,0.0003321689,0.0005444104],"domain_scores_gemma":[0.9992673,0.00005874046,0.0001269944,0.0003081846,0.0000372002,0.0002015762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001051066,0.0003293252,0.009422771,0.000002233244,0.00009115886,0.000001846967,0.0001968273,0.001821802,0.001465935,0.04183469,0.0009162383,0.9438121],"study_design_scores_gemma":[0.003275337,0.00195216,0.00778877,0.00001613259,0.0001273774,0.000006902989,0.007805954,0.002605035,0.01327096,0.01096984,0.9507991,0.001382439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3910286,0.00002135269,0.6012092,0.0002305827,0.0001438615,0.0003047298,0.0001635609,0.00006240635,0.00683572],"genre_scores_gemma":[0.9833221,4.878351e-7,0.0150366,0.00004401256,0.0005265597,0.0001947697,0.0001781737,0.00002971043,0.0006675741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9498829,"threshold_uncertainty_score":0.9999688,"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."}}