{"id":"W2742831534","doi":"10.5539/ijsp.v6n5p65","title":"The Generalized Additive Weibull-G Family of Distributions","year":2017,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Quantile; Mathematics; Exponentiated Weibull distribution; Statistics; Order statistic; Generator (circuit theory); Applied mathematics; Random variable; Power (physics)","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":[0.000590081,0.00007739529,0.0001639279,0.00002051004,0.0003647289,0.0001395667,0.0004087829,0.00003189851,0.00006071236],"category_scores_gemma":[0.005926508,0.00005311886,0.00005591552,0.00002274784,0.0005298326,0.0000922118,0.00007756584,0.0001208592,0.00000184686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004904136,"about_ca_system_score_gemma":0.00009593043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126729,"about_ca_topic_score_gemma":0.00001622553,"domain_scores_codex":[0.9988212,0.00005671923,0.0005899431,0.00008536591,0.0003570923,0.00008965188],"domain_scores_gemma":[0.9959096,0.001258136,0.0008830178,0.000217389,0.00165604,0.0000757975],"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":[0.00005180213,0.00009332926,0.0004232839,0.000009159808,0.0000759834,0.000002460486,0.00003444621,0.000001622706,0.00009100226,0.9750107,0.005971061,0.01823516],"study_design_scores_gemma":[0.0004589258,0.00004296107,0.08073799,0.00002611857,0.00004020418,0.0000158401,0.00003210213,0.0009262329,0.000203128,0.9099205,0.00754026,0.00005572285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04221148,0.00005331247,0.9463337,0.002816266,0.0003434726,0.0001568513,0.007204526,0.000005492396,0.0008748901],"genre_scores_gemma":[0.9191279,0.0002049998,0.08044251,0.0000250799,0.00008001217,0.000009787829,0.0000472209,0.00000470649,0.00005775818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8769165,"threshold_uncertainty_score":0.7095011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06093324940520164,"score_gpt":0.3820561800183739,"score_spread":0.3211229306131722,"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."}}