{"id":"W4401608607","doi":"10.1109/tr.2024.3438189","title":"Bayesian Prediction Regions and Density Estimation With Type-2 Censored Data","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Bayesian probability; Estimation; Statistics; Computer science; Density estimation; Bayes estimator; Data mining; Econometrics; Mathematics; Artificial intelligence; Estimator; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02998538,0.002505631,0.004097683,0.003960972,0.001231449,0.00490444,0.008250327,0.004294066,0.00778889],"category_scores_gemma":[0.163853,0.002126965,0.003628763,0.003456862,0.004856168,0.007876118,0.003791917,0.006863264,0.002268523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00327181,"about_ca_system_score_gemma":0.002698964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242933,"about_ca_topic_score_gemma":0.004567453,"domain_scores_codex":[0.9916979,0.004941655,0.0002740835,0.001680066,0.0008582458,0.0005480356],"domain_scores_gemma":[0.868015,0.1158493,0.006619107,0.005127003,0.003442816,0.0009467857],"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":[0.0003064908,0.00006656042,0.004804614,0.000423979,0.0002412619,0.0004728373,0.0005974944,0.4302075,0.0003489227,0.5257255,0.005593477,0.03121141],"study_design_scores_gemma":[0.00004041566,0.00003243933,0.0007278743,0.000164404,0.00006166791,0.0001328319,0.00006076559,0.6680578,0.0003769495,0.3275202,0.002753723,0.00007083725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006963099,0.001244149,0.9878674,0.0007471651,0.0000611444,0.00008758188,0.0005222902,0.0003621009,0.002145091],"genre_scores_gemma":[0.479737,0.007165362,0.4940657,0.0009718935,0.001139866,0.001559995,0.004244964,0.0007615545,0.01035365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02998538,"threshold_uncertainty_score":0.1585798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06703916674964489,"score_gpt":0.3511447569120824,"score_spread":0.2841055901624375,"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."}}