{"id":"W4391933919","doi":"10.1214/23-sts919","title":"Emerging Directions in Bayesian Computation","year":2024,"lang":"en","type":"article","venue":"Statistical Science","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Office of Naval Research; National Institutes of Health; European Commission","keywords":"Bayesian probability; Computer science; Computation; Approximate Bayesian computation; Artificial intelligence; Machine learning; Algorithm; Inference","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":[0.01543351,0.00112849,0.00208181,0.00295537,0.001616021,0.0063729,0.002968453,0.004745866,0.008570789],"category_scores_gemma":[0.04306973,0.001131179,0.001746577,0.004447668,0.008678225,0.01421523,0.003709215,0.01149558,0.002273585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003960678,"about_ca_system_score_gemma":0.003183049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003939135,"about_ca_topic_score_gemma":0.003514969,"domain_scores_codex":[0.99108,0.00528024,0.0002949124,0.001049642,0.002047758,0.0002475813],"domain_scores_gemma":[0.9590092,0.03478518,0.0006310812,0.002346091,0.002548547,0.0006798256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009836943,0.00001745243,0.0001842467,0.0001600121,0.0000187227,0.00001646936,0.00008199935,0.003236994,0.00003818294,0.9634053,0.004280733,0.0285501],"study_design_scores_gemma":[0.000004770015,0.000003766446,0.00005080859,0.00006065007,0.000002999101,0.00001196765,0.00002063129,0.008344358,0.0000181291,0.9826031,0.00887238,0.000006427517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003548117,0.0967181,0.8054925,0.06202986,0.001765313,0.00005517005,0.0003155092,0.0003077273,0.02976758],"genre_scores_gemma":[0.2120863,0.1919894,0.5534542,0.01308218,0.01693815,0.0005367818,0.0007030718,0.0005221775,0.01068774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01543351,"threshold_uncertainty_score":0.08162117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065958484695598,"score_gpt":0.3056126727917594,"score_spread":0.2949530879448034,"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."}}