{"id":"W4416958515","doi":"10.3847/1538-4357/ae0d87","title":"Gaussian Process Methods for Very Large Astrometric Data Sets","year":2025,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Velocity dispersion; Gaussian process; Gaussian; Dispersion (optics); Radial velocity; Stars; Milky Way; Tensor (intrinsic definition)","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":[0.01599062,0.001362838,0.002461561,0.003458681,0.00123563,0.002294878,0.004993778,0.002652391,0.002511325],"category_scores_gemma":[0.03381308,0.001884021,0.00300433,0.003420025,0.002797492,0.002764836,0.004240256,0.004401398,0.001021743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947864,"about_ca_system_score_gemma":0.002579699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01693433,"about_ca_topic_score_gemma":0.01481912,"domain_scores_codex":[0.9946864,0.002675566,0.0002872272,0.001089736,0.0009585474,0.0003025706],"domain_scores_gemma":[0.9757038,0.01845388,0.001439398,0.002514557,0.001509192,0.0003791545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001227752,0.000101091,0.003903362,0.0001395029,0.0002548755,0.0001688934,0.0001573413,0.8781683,0.001007101,0.04384735,0.002058705,0.07007067],"study_design_scores_gemma":[0.000006732674,0.000008901974,0.0001786719,0.000005874594,0.00000379794,0.000007245666,0.000008524837,0.9855155,0.0001058866,0.01386408,0.0002882044,0.000006711109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006292736,0.0001594277,0.9924935,0.0001731327,0.00001999315,0.00004906708,0.0001932572,0.0004639536,0.0001550406],"genre_scores_gemma":[0.2656235,0.0004562278,0.7268206,0.0003269579,0.0002692936,0.0008737611,0.002939374,0.0003849324,0.002305299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01693433,"threshold_uncertainty_score":0.08456749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078282036648877,"score_gpt":0.3748417231400589,"score_spread":0.3440589027735702,"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."}}