{"id":"W4392650245","doi":"10.1007/s11269-024-03813-z","title":"D-vine Copula Quantile Regression for a Multidimensional Water Expenditures Analysis: Social and Regional Impacts","year":2024,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"Université Mohammed V de Rabat","keywords":"Vine copula; Quantile; Copula (linguistics); Econometrics; Quantile regression; Regression analysis; Flexibility (engineering); Variables; Statistics; Economics; Mathematics","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":[0.000259064,0.0003223742,0.0002921719,0.0006589824,0.000239864,0.000279307,0.0001485332,0.000089718,0.0001437999],"category_scores_gemma":[8.131144e-7,0.0001924681,0.00020152,0.0001518328,0.0000505105,0.000207765,0.0001981528,0.0001066049,0.00004673985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005578867,"about_ca_system_score_gemma":7.450657e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166867,"about_ca_topic_score_gemma":0.00001421635,"domain_scores_codex":[0.998318,0.00003400418,0.000329652,0.0004572842,0.0003388756,0.0005221585],"domain_scores_gemma":[0.9996601,0.0000173316,0.00002041135,0.0001963389,0.00001797929,0.00008788377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001310616,0.0004818282,0.002491002,0.01293799,0.02465298,0.0007931634,0.09336494,0.5325117,0.02719076,0.009414827,0.2666347,0.02821559],"study_design_scores_gemma":[0.0007348185,0.00005116204,0.001213471,0.0001250354,0.0009579843,0.000003470956,0.0003983653,0.2305166,0.004715911,0.0002043384,0.7606077,0.0004711343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785814,0.001508409,0.01469884,0.001069227,0.0003918697,0.0009901732,0.00002567364,0.0009022107,0.001832206],"genre_scores_gemma":[0.991909,0.0001008776,0.001875401,0.0001125129,0.0003145468,0.0001603677,0.0007370617,0.00007753771,0.00471267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.493973,"threshold_uncertainty_score":0.7848622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508348807681668,"score_gpt":0.2450378057648399,"score_spread":0.2299543176880232,"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."}}