{"id":"W4403490855","doi":"10.3934/math.20241427","title":"Bivariate exponentiated generalized inverted exponential distribution with applications on dependent competing risks data","year":2024,"lang":"en","type":"article","venue":"AIMS Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bivariate analysis; Mathematics; Exponential function; Statistics; Exponential distribution; Applied mathematics; Distribution (mathematics); Econometrics; Statistical physics; Mathematical analysis; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01222855,0.0006861231,0.0007991597,0.001568771,0.0004446577,0.001377034,0.001369052,0.001006721,0.002689932],"category_scores_gemma":[0.041171,0.0002749284,0.000948038,0.001980231,0.001555964,0.001960749,0.001941097,0.00279435,0.00041743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073175,"about_ca_system_score_gemma":0.001090394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002584488,"about_ca_topic_score_gemma":0.001851052,"domain_scores_codex":[0.9971526,0.001929921,0.0001028727,0.000272451,0.0004372293,0.0001049603],"domain_scores_gemma":[0.9676173,0.02732766,0.001478582,0.00149963,0.001715407,0.00036153],"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":[0.0002096503,0.00008825057,0.01224867,0.0002582521,0.00009876651,0.001058958,0.000490962,0.3339019,0.001521519,0.5022448,0.004431126,0.1434472],"study_design_scores_gemma":[0.00003563358,0.0000838067,0.003183507,0.00007630723,0.00002650771,0.0005041799,0.0001777717,0.7566426,0.0006351206,0.2324039,0.006168993,0.00006164145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02210089,0.0008075758,0.973524,0.0008608906,0.00005438848,0.00006342215,0.0001629565,0.00009378175,0.002332165],"genre_scores_gemma":[0.6213591,0.002907438,0.3693898,0.0004357388,0.0003016054,0.0003633746,0.0006252802,0.0001379716,0.004479604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01222855,"threshold_uncertainty_score":0.06467152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191337536211794,"score_gpt":0.3985509250774589,"score_spread":0.2072133888656649,"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."}}