{"id":"W4416891237","doi":"10.1002/eng2.70477","title":"The New Heavy‐Tailed Cosine‐Weibull Distribution: Properties, Simulation, Applications, and Regression Modeling","year":2025,"lang":"en","type":"article","venue":"Engineering Reports","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Imam Mohammed Ibn Saud Islamic University","keywords":"Estimator; Skewness; Flexibility (engineering); Regression analysis; Regression; Quantile regression; Probability distribution; Distribution (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002241784,0.0001334821,0.0001355377,0.00002771008,0.000372436,0.00009828689,0.00006975131,0.00006219382,0.00001047835],"category_scores_gemma":[0.001181033,0.00009684911,0.00003181616,0.0002718053,0.00003231116,0.00006111397,0.00004633211,0.0001213076,0.00000350768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008078299,"about_ca_system_score_gemma":0.00008475783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000598972,"about_ca_topic_score_gemma":0.000001162183,"domain_scores_codex":[0.9989711,0.000009704792,0.0004677432,0.0002263455,0.0001616561,0.0001634411],"domain_scores_gemma":[0.998976,0.0003105651,0.00009768632,0.0003742251,0.0001491045,0.00009243195],"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":[0.00001732066,0.0000729434,0.0001384068,0.0001662542,0.00004366022,0.000004658363,0.00004818936,0.1673201,0.0003337299,0.8066922,0.01651403,0.008648433],"study_design_scores_gemma":[0.0001275304,0.000004407465,0.0002449206,0.0001536374,0.00003133511,0.00001600614,0.00001748596,0.9006061,0.0003381277,0.04429493,0.05403404,0.0001314655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002625036,0.0005702754,0.994305,0.001504359,0.00007339637,0.0005260679,0.00001517291,0.0002402943,0.0001403685],"genre_scores_gemma":[0.9940202,0.00002601576,0.004537169,0.00002828779,0.00005925152,0.0002280282,0.0001089332,0.00001266885,0.0009794751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9913951,"threshold_uncertainty_score":0.3949392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856968612013365,"score_gpt":0.3114472554473834,"score_spread":0.2828775693272498,"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."}}