{"id":"W2607081621","doi":"10.1002/cjs.11318","title":"Bayesian analysis of a density ratio model","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Mathematics; Markov chain Monte Carlo; Statistics; Econometrics; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006098628,0.0001219926,0.0005982924,0.0003696385,0.0002674715,0.0001163657,0.000426992,0.00007158231,0.0002487617],"category_scores_gemma":[0.006585851,0.0001095591,0.0001260968,0.0001409919,0.0002820247,0.0001055313,0.00001657463,0.0001966961,0.000001258115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007753742,"about_ca_system_score_gemma":0.001098618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894808,"about_ca_topic_score_gemma":0.03392586,"domain_scores_codex":[0.9987072,0.00007102411,0.0006390557,0.0001049364,0.0002390432,0.0002387143],"domain_scores_gemma":[0.9967214,0.0006248619,0.0009494826,0.0004417217,0.0007090014,0.0005535392],"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":[0.00001294835,0.00001926201,0.01049586,0.0000475827,0.0005437243,0.0001965951,0.0004261371,0.0001354384,0.00005767815,0.9726548,0.003436897,0.01197303],"study_design_scores_gemma":[0.0002026837,0.00006784157,0.01981646,0.00004821112,0.00145119,0.00001580825,0.00005129735,0.1429568,0.0001258728,0.8350912,0.00004061387,0.0001319765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005319544,0.00001591108,0.9922821,0.0001218586,0.0001360673,0.00004992936,0.0009963774,0.000001892382,0.001076327],"genre_scores_gemma":[0.4594411,0.000004890422,0.5404458,0.0000258061,0.00002423639,3.033958e-7,0.000002064525,0.000007366013,0.00004839051],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4541216,"threshold_uncertainty_score":0.9837025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07925885678258944,"score_gpt":0.3541440477006121,"score_spread":0.2748851909180227,"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."}}