{"id":"W2017916848","doi":"10.1080/03610920902871453","title":"Predictive Inference from a Two-Parameter Rayleigh Life Model Given a Doubly Censored Sample","year":2010,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hyperparameter; Predictive inference; Inference; Bayesian inference; Conjugate prior; Scale parameter; Mathematics; Statistics; Bayesian probability; Sample (material); Applied mathematics; Computer science; Prior probability; Frequentist inference; Algorithm; Artificial intelligence; Physics","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004485107,0.0002825296,0.0005611943,0.0001267129,0.0002141953,0.00011007,0.0005991592,0.0001902241,0.0003771108],"category_scores_gemma":[0.05367516,0.0002572636,0.00004729783,0.0001938085,0.0006790868,0.0001630009,0.0003358394,0.0009217146,0.000005119595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002922154,"about_ca_system_score_gemma":0.0001294229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002138114,"about_ca_topic_score_gemma":0.0001243683,"domain_scores_codex":[0.9943244,0.00403896,0.0007032991,0.000422007,0.0001887202,0.0003225417],"domain_scores_gemma":[0.9258648,0.0722201,0.0002873978,0.00118397,0.0002159497,0.0002277353],"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":[0.0002744954,0.00009237674,0.000692077,0.00003564817,0.00003879501,0.000001141112,0.002387128,0.00002132003,0.001037678,0.8993219,0.00008404183,0.09601341],"study_design_scores_gemma":[0.0008147327,0.00004827169,0.002114214,0.00007676023,0.00008216917,0.000001600456,0.0002192746,0.113798,0.0004104335,0.8820137,0.0001567654,0.0002640842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007369846,0.0001512709,0.9892842,0.000105925,0.000130174,0.0003954909,0.001408501,0.0000728732,0.001081757],"genre_scores_gemma":[0.1664598,0.0001298531,0.8329661,0.0001649638,0.00003332031,0.0001196041,0.00006163267,0.00003004225,0.00003469808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1590899,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08132746619311328,"score_gpt":0.4560546645984665,"score_spread":0.3747271984053532,"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."}}