{"id":"W3127426825","doi":"10.1051/0004-6361/201935898/pdf","title":"The survey of planetary nebulae in Andromeda (M 31)","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"Ludwig-Maximilians-Universität München; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; European Southern Observatory; Department of Science and Technology, Ministry of Science and Technology, India; National Aeronautics and Space Administration; Deutscher Akademischer Austauschdienst; Smithsonian Institution","keywords":"Physics; Astrophysics; Astronomy; Galaxy; Metallicity; Red-giant branch; Halo; Large Magellanic Cloud; Planetary nebula; Andromeda Galaxy; Local Group; Milky Way; Stars","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":[0.0002194521,0.0002111211,0.0001306749,0.0008081587,0.0002399581,0.0002941688,0.0001726088,0.0001206763,0.000677446],"category_scores_gemma":[0.0004022361,0.00007172136,0.0001420851,0.0004613145,0.0001308188,0.0001508312,0.000425536,0.0001520191,0.0004132523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232917,"about_ca_system_score_gemma":0.0002594816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008575912,"about_ca_topic_score_gemma":0.01525035,"domain_scores_codex":[0.9999048,0.00001363522,0.000004811659,0.00003516062,0.00002471451,0.00001705854],"domain_scores_gemma":[0.99962,0.00002411483,0.0001476635,0.00005003543,0.00004423822,0.0001139625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007922929,0.00003388332,0.9521128,0.00009030098,0.00008886607,0.0002112926,0.0004137232,0.0004183451,0.01160693,0.0005005366,0.001521618,0.03292247],"study_design_scores_gemma":[0.000001972694,0.00001772881,0.9946033,0.000007274115,0.000008880267,0.0002277898,0.00006681335,0.0001749656,0.0003474715,0.00003535598,0.004506436,0.000001884767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922546,0.0008153784,0.0005414357,0.00005321122,0.000006855317,0.00002334789,0.00287433,0.00005023765,0.003380662],"genre_scores_gemma":[0.9924043,0.0003927528,0.002016674,0.00004393011,0.00001523158,0.00001525407,0.003981801,0.00001495129,0.001115071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008575912,"threshold_uncertainty_score":0.01705199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03551663757448354,"score_gpt":0.1642534168320793,"score_spread":0.1287367792575958,"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."}}