{"id":"W2059366338","doi":"10.2307/3316039","title":"A new approach to default priors and robust bayes methodology","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Security Agency; National Science Foundation","keywords":"Prior probability; Bayes' theorem; Mathematics; Bounded function; Gaussian; Minification; Computer science; Econometrics; Applied mathematics; Statistics; Mathematical optimization; Bayesian probability","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000787108,0.0001489188,0.0004193477,0.0002166998,0.0001004802,0.00004538741,0.000169086,0.00008072564,0.0001337225],"category_scores_gemma":[0.00649901,0.0001320225,0.00003311598,0.0001594506,0.00007978648,0.00006975631,0.0000161357,0.0002559836,0.000004174189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008836104,"about_ca_system_score_gemma":0.0006876471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093752,"about_ca_topic_score_gemma":0.005398086,"domain_scores_codex":[0.998663,0.0001881612,0.0004644778,0.0001641563,0.0001500431,0.0003701574],"domain_scores_gemma":[0.9961976,0.001713625,0.0001880539,0.0001473572,0.0002414237,0.001511979],"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":[0.00004352902,0.00001766391,0.0002236559,0.00005761352,0.00006040435,0.0003507009,0.001772952,0.0008878977,0.00003906864,0.7936811,0.03910774,0.1637576],"study_design_scores_gemma":[0.0004719312,0.0001974717,0.0005656606,0.00004933084,0.0001178523,0.001015031,0.0005479097,0.001671259,0.00001531342,0.976027,0.01909292,0.0002283339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008118347,0.0001442178,0.9965057,0.0002774657,0.0001848648,0.0001270723,0.0001482731,0.000005074471,0.001795524],"genre_scores_gemma":[0.002245829,0.00003934129,0.9963649,0.0002760546,0.0001388928,0.000001546871,0.000001960302,0.00002843347,0.0009030553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1823458,"threshold_uncertainty_score":0.7780391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2930107845400967,"score_gpt":0.4078925167865879,"score_spread":0.1148817322464912,"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."}}