{"id":"W3128223063","doi":"10.3847/1538-4365/acfaa2","title":"Siena Galaxy Atlas 2020","year":2023,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"U.S. Department of Energy; High Energy Physics; Office of Science; National Science Foundation","keywords":"Atlas (anatomy); Astronomy; Geology; Physics; Paleontology","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":[0.0006199589,0.0008097289,0.0006325976,0.006011828,0.0006139264,0.001776671,0.001615035,0.000567353,0.05105791],"category_scores_gemma":[0.001457822,0.0003472067,0.0003927778,0.006239902,0.0002010111,0.001532392,0.001634551,0.0007673191,0.0699954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008708091,"about_ca_system_score_gemma":0.00122599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145721,"about_ca_topic_score_gemma":0.01605395,"domain_scores_codex":[0.9995393,0.00006187485,0.0000299025,0.0001034015,0.0001720089,0.00009350375],"domain_scores_gemma":[0.9990797,0.0000507545,0.0001019107,0.000225216,0.0003814804,0.0001609302],"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":[0.0001176599,0.00001600255,0.004204372,0.00028972,0.0000407967,0.00006461834,0.00006608621,0.0003772884,0.0007653541,0.008995944,0.9365332,0.04852898],"study_design_scores_gemma":[0.00001048064,0.000003742152,0.003501611,0.00003679639,0.000007624007,0.00005678867,0.00001519849,0.0002025396,0.0001961846,0.001212461,0.9947495,0.000007135312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007089774,0.002990943,0.007404275,0.0009591671,0.0006226195,0.0001796598,0.7707167,0.01710213,0.1929349],"genre_scores_gemma":[0.01343946,0.001386974,0.01146348,0.0005631648,0.0002092193,0.0002375722,0.9369278,0.001518797,0.0342535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05105791,"threshold_uncertainty_score":0.1708057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009084573418163239,"score_gpt":0.2133197758043375,"score_spread":0.2042352023861742,"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."}}