{"id":"W4390972838","doi":"10.1080/00949655.2024.2304082","title":"Time series regression models for zero-inflated proportions","year":2024,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University; University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimator; Covariate; Series (stratigraphy); Transformation (genetics); Statistics; Applied mathematics; Regression analysis; Generalized linear model; Data transformation; Econometrics; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02181871,0.00126451,0.001799445,0.002014042,0.0006706908,0.002539732,0.004532718,0.002614823,0.008234424],"category_scores_gemma":[0.08103008,0.0007728257,0.002304896,0.004053114,0.00252131,0.00458344,0.002156904,0.004463957,0.002359662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606645,"about_ca_system_score_gemma":0.0009994559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003390151,"about_ca_topic_score_gemma":0.002332903,"domain_scores_codex":[0.9895911,0.006879536,0.0003904327,0.001557085,0.001245675,0.0003361727],"domain_scores_gemma":[0.9454084,0.04450823,0.004209977,0.003565085,0.002032374,0.0002759208],"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":[0.0000943335,0.00006169373,0.004400432,0.0001806527,0.0001437525,0.0002677848,0.0005822786,0.1805605,0.0007255456,0.7630972,0.001970499,0.04791525],"study_design_scores_gemma":[0.0000263845,0.0000642228,0.001137596,0.00005747235,0.00003613387,0.0001456633,0.00007649993,0.5645154,0.0004007895,0.4280557,0.005443848,0.00004026214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006097815,0.0002434196,0.9915547,0.0003883116,0.00004830248,0.00005200249,0.0002092036,0.0001837279,0.00122247],"genre_scores_gemma":[0.4009733,0.002215405,0.5699582,0.0006193221,0.0003307688,0.001681901,0.001675579,0.0003961513,0.02214943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02181871,"threshold_uncertainty_score":0.1153898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07012677551197766,"score_gpt":0.4191918223522964,"score_spread":0.3490650468403187,"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."}}