{"id":"W3196673788","doi":"10.1080/03610918.2021.1966466","title":"Simultaneous confidence intervals for mean differences of multiple zero-inflated gamma distributions with applications to precipitation","year":2021,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Precipitation; Gamma distribution; Zero (linguistics); Confidence interval; Statistics; Mathematics; Distribution (mathematics); Meteorology; Mathematical analysis; Physics","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":[0.0001863649,0.0001054625,0.0001845321,0.00007244733,0.0002340995,0.0000334067,0.0001804487,0.00005756187,0.00004150451],"category_scores_gemma":[0.000424532,0.0001086676,0.00002249641,0.0005057321,0.000213955,0.0001162395,0.0001182001,0.00008226684,0.0000112062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000619839,"about_ca_system_score_gemma":0.00002702001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009610336,"about_ca_topic_score_gemma":0.00158568,"domain_scores_codex":[0.9989187,0.0001561578,0.0004250471,0.0002437452,0.0001363812,0.0001199771],"domain_scores_gemma":[0.9964712,0.002702259,0.0001818829,0.0003684907,0.0002160159,0.00006020832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005239908,0.0001809957,0.03015697,0.00001964416,0.00002666235,5.998348e-7,0.001566881,0.9346302,0.0003986283,0.00929512,0.0000355078,0.02363645],"study_design_scores_gemma":[0.000453194,0.00007937117,0.03343471,0.00002591885,0.00005217225,0.000001374347,0.0001816786,0.9470617,0.0001260509,0.01808738,0.0003728949,0.0001235266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027876,0.00004686352,0.8960572,0.0002207197,0.00001153088,0.0005080714,0.000209142,0.00002065913,0.0001382732],"genre_scores_gemma":[0.8457991,0.00002830566,0.1531442,0.00004483344,0.000003407893,0.0001417141,0.0007899693,0.000006773305,0.00004167994],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7430115,"threshold_uncertainty_score":0.4431337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05781012111759889,"score_gpt":0.3696214403353384,"score_spread":0.3118113192177396,"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."}}