{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006158932,0.0004907615,0.0009352585,0.00008022679,0.0002671345,0.00004204741,0.0008711046,0.0005085255,0.0002152124],"category_scores_gemma":[0.000253283,0.0003486647,0.0003453267,0.0003522558,0.000191298,0.00009222222,0.0008626916,0.001156772,0.000004193886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095368,"about_ca_system_score_gemma":0.0001969523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553517,"about_ca_topic_score_gemma":0.003037026,"domain_scores_codex":[0.9976293,0.0002327507,0.0005280626,0.0008934522,0.000147765,0.0005686258],"domain_scores_gemma":[0.9978093,0.0009128694,0.0004420187,0.0004773925,0.0002132497,0.0001451628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00578113,0.001132599,0.945944,0.003830512,0.001857641,0.001119104,0.002295292,0.01266346,0.01072878,0.001667598,0.008648798,0.004331114],"study_design_scores_gemma":[0.03678119,0.00392749,0.8420258,0.00541445,0.004793942,0.00003678873,0.02277926,0.0458395,0.008897926,0.007863212,0.01662562,0.005014875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933976,0.0004562004,0.000160207,0.0004898719,0.0003118547,0.001562546,0.0008328183,0.00006713458,0.002721771],"genre_scores_gemma":[0.9962367,0.0008353766,0.0002744013,0.001064136,0.0001160519,0.00001853666,0.0004006515,0.00001573599,0.001038434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1039182,"threshold_uncertainty_score":0.9998965,"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."}}