{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01742628,0.0009221947,0.002014959,0.002678967,0.0006114691,0.002686498,0.003700111,0.002108113,0.00648602],"category_scores_gemma":[0.0581261,0.001120879,0.002264332,0.00155157,0.002803403,0.003642559,0.002382298,0.002579632,0.001031087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206937,"about_ca_system_score_gemma":0.001457896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006938126,"about_ca_topic_score_gemma":0.003061075,"domain_scores_codex":[0.9905136,0.006393297,0.0002330844,0.00104395,0.001453457,0.0003626609],"domain_scores_gemma":[0.9650027,0.02889825,0.001832332,0.001618432,0.00219771,0.0004506974],"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":[0.000153003,0.00008677112,0.002525198,0.0002022814,0.0002596901,0.0003571809,0.0002668994,0.3822104,0.00171623,0.5711686,0.002509794,0.03854399],"study_design_scores_gemma":[0.00001616723,0.00002679551,0.0004705705,0.00002282203,0.00003036369,0.00008050163,0.00002041132,0.9040933,0.0002266381,0.09409773,0.0008847422,0.00003002689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008766921,0.0001884437,0.9892943,0.0002763658,0.00001701969,0.00003358215,0.00008364788,0.0001594125,0.001180328],"genre_scores_gemma":[0.6813757,0.0009544538,0.3073454,0.0004735224,0.0002369609,0.0004555812,0.0006463583,0.0003750861,0.008136928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01742628,"threshold_uncertainty_score":0.09216011,"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."}}