{"id":"W2171953104","doi":"","title":"Location Reparameterization and Default Priors for Statistical Analysis","year":2002,"lang":"en","type":"article","venue":"Journal of the Iranian Statistical Society","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Prior probability; Frequentist inference; Mathematics; Bayesian probability; Statistical inference; Bayesian inference; Applied mathematics; Econometrics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009063606,0.0001454828,0.000445272,0.00003655897,0.0001862659,0.00007968696,0.0001779704,0.00008238086,0.0002014238],"category_scores_gemma":[0.008461297,0.00009382987,0.000216057,0.0004114301,0.0002441814,0.00007162082,0.00004039823,0.0002353077,0.000001661074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007183828,"about_ca_system_score_gemma":0.00002990072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006547963,"about_ca_topic_score_gemma":0.00000418881,"domain_scores_codex":[0.9982455,0.0002182864,0.0007232488,0.0001790111,0.0004080774,0.0002259256],"domain_scores_gemma":[0.9939981,0.004830458,0.0004346823,0.0001980731,0.0003775268,0.0001611405],"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":[0.0001388492,0.0004270306,0.004348086,0.000581023,0.001495146,0.000007709256,0.002202897,0.00009792057,0.000465057,0.9108217,0.02805494,0.05135959],"study_design_scores_gemma":[0.001335287,0.0004693932,0.06045641,0.0001053706,0.00359499,0.00005908241,0.0004383472,0.2574748,0.00009498258,0.6743647,0.001264026,0.0003425468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0133513,0.00006249818,0.9854124,0.0005432586,0.0001324313,0.0002153793,0.0001862948,0.00001040872,0.00008605886],"genre_scores_gemma":[0.3640089,0.00002276261,0.6356713,0.000142308,0.0000658085,0.000004215916,0.000001982168,0.00001218218,0.0000706162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3506576,"threshold_uncertainty_score":0.9998909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07608548882056117,"score_gpt":0.3628593821722997,"score_spread":0.2867738933517385,"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."}}