{"id":"W4392560478","doi":"10.3847/1538-4365/ad20c9","title":"The EDGE-CALIFA Survey: An Extragalactic Database for Galaxy Evolution Studies","year":2024,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Astronomical Sciences; Agencia Nacional de Investigación y Desarrollo; National Radio Astronomy Observatory","keywords":"Galaxy; Enhanced Data Rates for GSM Evolution; Astrophysics; Galaxy formation and evolution; Computer science; Astronomy; Physics; Artificial intelligence","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":[0.00145759,0.0005990044,0.0008414232,0.009623199,0.0004941089,0.001387753,0.001545291,0.0004616992,0.01762494],"category_scores_gemma":[0.004943255,0.0003951018,0.000284927,0.01602952,0.0001796129,0.0008598529,0.001883052,0.0004871064,0.006542575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007280036,"about_ca_system_score_gemma":0.002089663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03211977,"about_ca_topic_score_gemma":0.03952262,"domain_scores_codex":[0.9990457,0.000156169,0.000159457,0.0002491926,0.0002937285,0.00009575437],"domain_scores_gemma":[0.9919287,0.001175491,0.00148309,0.001883395,0.001992952,0.001536476],"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":[0.0007072067,0.0001827698,0.2618288,0.001036705,0.0003112564,0.0002549872,0.000443074,0.001115889,0.003702539,0.004008869,0.6380362,0.08837172],"study_design_scores_gemma":[0.0002421636,0.00003388977,0.6691587,0.0001749295,0.00009224749,0.0001639172,0.0002485885,0.00134172,0.001001106,0.0008711939,0.3266317,0.00003989423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02702163,0.000372847,0.001525078,0.0001005639,0.00001689854,0.0001259604,0.9631441,0.0008974432,0.006795497],"genre_scores_gemma":[0.02044476,0.0002144685,0.004729399,0.00005844597,0.0000348609,0.0003021879,0.9726261,0.000143854,0.001445784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03211977,"threshold_uncertainty_score":0.06386566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613793376736079,"score_gpt":0.3593475944650155,"score_spread":0.3132096606976547,"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."}}