{"id":"W2522066320","doi":"10.2298/fil1705395c","title":"The transmuted generalized modified Weibull distribution","year":2017,"lang":"en","type":"article","venue":"Filomat","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Higher Education Commision, Pakistan; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Weibull distribution; Mathematics; Statistics; Applied mathematics; Goodness of fit; Exponentiated Weibull distribution; Statistic; Order statistic; Hazard; Statistical physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004169506,0.0007129877,0.0009948768,0.00243376,0.0005571659,0.002421255,0.003095591,0.002016939,0.04004411],"category_scores_gemma":[0.02762264,0.0005048985,0.001132174,0.004861974,0.001247821,0.003271572,0.001394042,0.002656984,0.01412135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002257339,"about_ca_system_score_gemma":0.001883363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007539634,"about_ca_topic_score_gemma":0.005590474,"domain_scores_codex":[0.9962682,0.00143337,0.000156977,0.0007641785,0.001164506,0.0002127476],"domain_scores_gemma":[0.9875995,0.005752661,0.001612476,0.002767218,0.00195064,0.0003174984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000278802,0.0000998043,0.02036717,0.0003521061,0.0001856175,0.0005644009,0.0004061364,0.1207605,0.001486007,0.3480359,0.1102201,0.3972434],"study_design_scores_gemma":[0.00007919207,0.0001922937,0.009708923,0.0003282544,0.00007477404,0.001412389,0.0002865841,0.5030267,0.001349885,0.3391501,0.1441804,0.0002105705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01625502,0.001811395,0.9418809,0.002981457,0.0005062866,0.0003239669,0.006210491,0.002288152,0.02774236],"genre_scores_gemma":[0.5915957,0.004898718,0.2927531,0.002072616,0.0008612924,0.001587621,0.01181315,0.001630991,0.09278673],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04004411,"threshold_uncertainty_score":0.1339608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019792926731346,"score_gpt":0.3867994310274394,"score_spread":0.2848201383543048,"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."}}