{"id":"W4404611231","doi":"10.3390/e26121006","title":"Advancing Continuous Distribution Generation: An Exponentiated Odds Ratio Generator Approach","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"University of West Florida","keywords":"Gumbel distribution; Quantile; Weibull distribution; Mathematics; Computer science; Order statistic; Applied mathematics; Probability distribution; Statistics; Statistical physics; Extreme value theory","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":[],"consensus_categories":[],"category_scores_codex":[0.0002261787,0.0001644229,0.0001733772,0.0000402129,0.0002376319,0.0002572551,0.000107234,0.00007891594,0.0006397882],"category_scores_gemma":[0.0002832961,0.000153461,0.0000659333,0.0003002046,0.00005122382,0.0002629693,0.00002094995,0.0001378132,0.0001814483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390318,"about_ca_system_score_gemma":0.0000664009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004797762,"about_ca_topic_score_gemma":0.000002141786,"domain_scores_codex":[0.998657,0.00009723409,0.0003807927,0.0003581654,0.0002560193,0.000250824],"domain_scores_gemma":[0.9992532,0.000105488,0.00006210952,0.0002798967,0.0001367034,0.0001625658],"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":[0.000003701432,0.0001507084,0.00000767348,0.00003252274,0.00002150179,0.000003952312,0.00008315044,0.00008013341,0.0190158,0.9477952,0.03159158,0.001214135],"study_design_scores_gemma":[0.0003888231,0.00005556484,0.0002494039,0.00002283648,0.00009550351,0.00002526636,0.0001368965,0.9418456,0.01078403,0.03215972,0.01391461,0.0003217359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02182235,0.00012907,0.9754933,0.0004950144,0.0002737787,0.0003435785,0.0005943683,0.0005138606,0.0003346413],"genre_scores_gemma":[0.9458285,0.000009746959,0.04709316,0.0001136849,0.0005556563,0.0002090044,0.005718418,0.00002925508,0.0004425651],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9417655,"threshold_uncertainty_score":0.7005233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837318779153577,"score_gpt":0.3386056015133818,"score_spread":0.290232413721846,"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."}}