{"id":"W2512501933","doi":"10.5539/ijsp.v5n5p31","title":"An Assessment of the Effects of Prior Distributions on the Bayesian Predictive Inference","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prior probability; Predictive inference; Bayesian probability; Bayesian linear regression; Inference; Bayesian inference; Statistical inference; Range (aeronautics); Frequentist inference; Bayesian statistics; Statistics; Bayesian experimental design; Linear regression; Prior information; Econometrics; Computer science; Mathematics; Artificial intelligence","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":[0.0006924351,0.00007241305,0.0001700889,0.00001952301,0.00004407907,0.00001034883,0.0002531344,0.0000258542,0.00002061493],"category_scores_gemma":[0.007451358,0.000030579,0.00004369397,0.00003315685,0.0002775347,0.00006327077,0.00004787555,0.00011899,3.748499e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005827206,"about_ca_system_score_gemma":0.0001098954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003688616,"about_ca_topic_score_gemma":0.000005093882,"domain_scores_codex":[0.9987661,0.0002565531,0.0004339006,0.00008462365,0.0003905625,0.00006825891],"domain_scores_gemma":[0.9909761,0.007541809,0.000510513,0.000160359,0.000764344,0.00004689463],"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":[0.00006176282,0.0002559732,0.003358349,0.00005847339,0.0000683153,0.00000153931,0.0001084444,0.0000138222,0.001625417,0.9677363,0.00003479964,0.02667679],"study_design_scores_gemma":[0.0002946996,0.0004541487,0.06086114,0.0002459489,0.00003827916,0.000003551789,0.00001213381,0.001005598,0.002243992,0.934788,0.00001776778,0.00003466787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.108174,0.000005799333,0.8900617,0.0004173756,0.0001827004,0.0001725987,0.0009256976,0.000001512161,0.00005859143],"genre_scores_gemma":[0.7833636,0.00002441374,0.2165627,0.00001333135,0.00002289107,0.00000422,6.861203e-7,0.000003009125,0.000005185072],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6751896,"threshold_uncertainty_score":0.892051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173485378492163,"score_gpt":0.433257029538582,"score_spread":0.3915221757536604,"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."}}