{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004537142,0.00008609422,0.00008387671,0.0002832553,0.0001860735,0.0007222198,0.0005352834,0.00002092241,0.00004614146],"category_scores_gemma":[0.0001582977,0.00007385918,0.00001470194,0.002749109,0.000258053,0.0009418211,0.0001366259,0.0001452409,0.00009567705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008984296,"about_ca_system_score_gemma":0.0003241868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006460132,"about_ca_topic_score_gemma":0.00003544353,"domain_scores_codex":[0.9985147,0.00002304801,0.000189252,0.0005317057,0.0003793657,0.0003619822],"domain_scores_gemma":[0.9994719,0.000177443,0.00001645189,0.0001503185,0.00004841544,0.0001354901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.247399e-7,0.00001253622,0.0001420464,0.00001723453,6.062024e-7,0.00004158713,0.0002379027,0.00005572454,0.0001818529,0.7305189,0.0001398812,0.2686514],"study_design_scores_gemma":[0.0000391218,0.00003036054,0.01318149,0.00005925193,0.000001346728,0.00002206565,0.00002123504,0.7655576,0.000131458,0.2194714,0.001358356,0.0001263442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004171521,0.00011023,0.9863355,0.001517537,0.0005101766,0.00006366925,0.00000478432,0.0001932926,0.01084764],"genre_scores_gemma":[0.863127,0.00001070561,0.1367103,0.00006650494,0.0000219818,0.000008033231,8.814282e-7,0.000003221876,0.00005138584],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8627099,"threshold_uncertainty_score":0.6964383,"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."}}