{"id":"W4242916615","doi":"10.15353/rea.v1i1.1481","title":"S. James Press and Bayesian Analysis","year":2009,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Bayesian statistics; Statistical analysis; Statistics; Computer science; Sociology; Econometrics; Bayesian inference; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007492624,0.0009993326,0.001320831,0.003083762,0.001508444,0.003630782,0.0006419558,0.003745513,0.004043278],"category_scores_gemma":[0.01944626,0.0008314755,0.0007646796,0.002607729,0.008168466,0.006116609,0.001605599,0.01053256,0.001865628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002838019,"about_ca_system_score_gemma":0.002029696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005147766,"about_ca_topic_score_gemma":0.004252961,"domain_scores_codex":[0.9950328,0.002836628,0.0002244289,0.0006827065,0.00108714,0.0001363292],"domain_scores_gemma":[0.9858589,0.01194276,0.0003151482,0.0004781541,0.001077011,0.0003279956],"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":[0.00003585414,0.00002571383,0.0004541645,0.0002722118,0.00005951999,0.0001025878,0.0002450856,0.001529994,0.00009699424,0.8003763,0.1454761,0.0513255],"study_design_scores_gemma":[0.00001705082,0.00001854504,0.0005721296,0.0003774583,0.0000152715,0.00012212,0.00006132502,0.001461936,0.00009654121,0.7900949,0.2071159,0.00004679116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002129708,0.5814546,0.06036647,0.2651176,0.0127752,0.00004598903,0.0002629164,0.0001531894,0.07769432],"genre_scores_gemma":[0.1797981,0.5019131,0.08109675,0.09565803,0.0484708,0.0002740731,0.0003297929,0.0005369402,0.09192239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007492624,"threshold_uncertainty_score":0.03962523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140087920782175,"score_gpt":0.3062962390532425,"score_spread":0.2948953598454208,"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."}}