{"id":"W2028610170","doi":"10.1097/ede.0b013e31823b539c","title":"Is Probabilistic Bias Analysis Approximately Bayesian?","year":2011,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Frequentist inference; Probabilistic logic; Bayesian probability; Statistics; Computer science; Bayes' theorem; Econometrics; Bayesian inference; Artificial intelligence; Mathematics","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":[0.05529469,0.0009497848,0.003007557,0.002488061,0.001109283,0.00445292,0.003495914,0.003289269,0.006106434],"category_scores_gemma":[0.2820751,0.001406838,0.002294861,0.003509346,0.005060541,0.01038449,0.002640277,0.004360498,0.001035635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002503425,"about_ca_system_score_gemma":0.002305609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004292306,"about_ca_topic_score_gemma":0.002533468,"domain_scores_codex":[0.9621806,0.02544564,0.001640604,0.004094511,0.005781391,0.0008572828],"domain_scores_gemma":[0.7923368,0.176727,0.01117735,0.01217501,0.00704364,0.000540154],"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":[0.00007958676,0.00002981267,0.004282997,0.0003743501,0.0004305864,0.000110475,0.0004754163,0.02529238,0.0001308887,0.8883883,0.003495747,0.07690932],"study_design_scores_gemma":[0.00002167253,0.00001419098,0.000535906,0.00008708012,0.00005983126,0.00009120368,0.00003929855,0.02834298,0.00008134777,0.9673721,0.003334411,0.00001990502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007486554,0.002725464,0.9758397,0.00750601,0.0001872023,0.0001080832,0.0002573811,0.0001320649,0.005757484],"genre_scores_gemma":[0.4554983,0.01016776,0.5152941,0.006875729,0.002287873,0.001610079,0.0008108881,0.0003063001,0.007148917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05529469,"threshold_uncertainty_score":0.2924297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6188697775386927,"score_gpt":0.4753260340257086,"score_spread":0.1435437435129841,"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."}}