{"id":"W6948349012","doi":"10.48550/arxiv.2506.21755","title":"Apache Point Observatory follow-up of ACcelerating Candidate ExopLanet host Stars (APO ACCELS): Ages for 166 Accelerating Stars in the Northern Hemisphere","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Stars; Exoplanet; Northern Hemisphere; Observatory; Astrometry; Planet","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":[0.0003316509,0.0001412324,0.0001615976,0.001023131,0.0002908946,0.0002826152,0.0001653279,0.0001625243,0.001391337],"category_scores_gemma":[0.0004988627,0.0000980849,0.0001169517,0.0005971993,0.0001231081,0.0002154205,0.000500739,0.0001631428,0.0005472174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259463,"about_ca_system_score_gemma":0.0001478187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046162,"about_ca_topic_score_gemma":0.01393447,"domain_scores_codex":[0.9999069,0.000007045666,0.000007678525,0.00003464052,0.00002184529,0.00002196311],"domain_scores_gemma":[0.9993314,0.00005663278,0.0002533651,0.00006694658,0.0001042063,0.0001875117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001182932,0.0000219081,0.9910312,0.000007092944,0.00001297228,0.0000813721,0.00008825397,0.0001028278,0.002553122,0.0000244668,0.0003941013,0.005564484],"study_design_scores_gemma":[0.000002753628,0.00002379409,0.999143,9.422885e-7,0.000004021288,0.00007720498,0.00002916425,0.0001174697,0.0003276791,0.0000112612,0.0002614151,0.000001257956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9966139,0.00007476253,0.0001083742,0.00001683292,0.000001691529,0.000006526407,0.00237788,0.00001994869,0.0007800278],"genre_scores_gemma":[0.9951161,0.0000640544,0.000361158,0.0000110821,0.00000643768,0.000004122001,0.003876904,0.000007242159,0.0005529402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007046162,"threshold_uncertainty_score":0.01401031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1790710332479084,"score_gpt":0.2542072631549627,"score_spread":0.07513622990705432,"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."}}