{"id":"W2340766493","doi":"10.1080/03610918.2015.1102937","title":"Goodness-of-fit tests for one-shot device accelerated life testing data","year":2015,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Goodness of fit; Statistics; Estimator; Statistic; Mathematics; Test statistic; Statistical hypothesis testing; Nonparametric statistics; Null hypothesis","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":[0.0007433741,0.0001540863,0.000281179,0.0001520039,0.0002075976,0.00008424056,0.0005203485,0.0000849948,0.00001023329],"category_scores_gemma":[0.01252249,0.0001798455,0.00001457208,0.0006786194,0.0001747457,0.000254438,0.0002740122,0.0001410334,0.000006463169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006953064,"about_ca_system_score_gemma":0.0002259884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004069534,"about_ca_topic_score_gemma":0.00006947415,"domain_scores_codex":[0.9982411,0.0001728217,0.0008834223,0.0002938616,0.0002427873,0.0001659888],"domain_scores_gemma":[0.9892588,0.007944458,0.0004303539,0.0009420638,0.00126797,0.0001563007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005409255,0.0008026495,0.00234293,0.0002049339,0.00004004692,2.804883e-7,0.0006728941,0.07187142,0.00006105273,0.8750225,0.002156556,0.04677069],"study_design_scores_gemma":[0.0009161004,0.00004143935,0.0089119,0.00005383372,0.00005233694,7.943037e-7,0.0002265509,0.8069646,0.000006030169,0.1822013,0.000476787,0.0001483288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006921723,0.0001020659,0.9892621,0.0003944536,0.00004249838,0.000780998,0.001798072,0.00008924065,0.0006088258],"genre_scores_gemma":[0.5823117,0.000008056014,0.4152409,0.00005548353,0.00001281493,0.00005645057,0.002291019,0.00001403453,0.000009527591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7350932,"threshold_uncertainty_score":0.9957954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9027066424640233,"score_gpt":0.6128736751042956,"score_spread":0.2898329673597277,"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."}}