{"id":"W4293575620","doi":"10.1051/0004-6361/201628661","title":"CALIFA, the Calar Alto Legacy Integral Field Area survey","year":2016,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":269,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"H2020 European Research Council; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Comisión Nacional de Investigación Científica y Tecnológica; Max-Planck-Institut für Astronomie; Ministerio de Ciencia e Innovación; Max-Planck-Gesellschaft; Instituto de Astrofísica de Andalucía; Junta de Andalucía; FP7 People: Marie-Curie Actions; Ministerio de Economía y Competitividad; Agence Nationale de la Recherche; Consejo Nacional de Ciencia y Tecnología; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Science and Technology Facilities Council; European Commission","keywords":"Physics; Galaxy; Spectrograph; Astrophysics; Spectral resolution; Observatory; Redshift; Telescope; Astronomy; Stellar population; William Herschel Telescope; Star formation; Spectral line","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":[0.0007715873,0.0005158765,0.0004284198,0.003473796,0.0009217515,0.001405564,0.001178963,0.0003017854,0.0234807],"category_scores_gemma":[0.001403155,0.0002650536,0.0001897639,0.004562929,0.0001814005,0.0006999269,0.0007836758,0.0007874006,0.01086223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002047452,"about_ca_system_score_gemma":0.003171394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3240403,"about_ca_topic_score_gemma":0.4500114,"domain_scores_codex":[0.9994412,0.00004398809,0.00002172733,0.0001677472,0.0002341605,0.00009129604],"domain_scores_gemma":[0.997563,0.0001161347,0.0002845605,0.0002858707,0.001240596,0.0005098588],"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":[0.0001571996,0.00008913207,0.09198641,0.0001298807,0.00004379194,0.00007880963,0.00017162,0.0001561528,0.0005617269,0.001834132,0.8769944,0.0277967],"study_design_scores_gemma":[0.0001114709,0.00002886083,0.4389522,0.00009265212,0.0000328172,0.00009194924,0.0003879039,0.0004416431,0.0002269842,0.0003967219,0.5592157,0.00002113518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04737709,0.0007220876,0.001176567,0.0005761493,0.000193355,0.0003269086,0.8596026,0.001217759,0.08880743],"genre_scores_gemma":[0.04521598,0.000640877,0.004457378,0.0005303231,0.0002584808,0.0005098796,0.9063481,0.0003769254,0.04166199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3240403,"threshold_uncertainty_score":0.6443083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009629510714284568,"score_gpt":0.2024588827449401,"score_spread":0.1928293720306556,"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."}}