{"id":"W4309710933","doi":"10.3390/w14223782","title":"Smooth Spatial Modeling of Extreme Mediterranean Precipitation","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données; Polytechnique Montréal","keywords":"Generalized extreme value distribution; Extreme value theory; Precipitation; Spatial distribution; Generalized additive model; Parametric statistics; Multivariate interpolation; Covariate; Interpolation (computer graphics); Spatial dependence; Environmental science; Computer science; Geography; Econometrics; Mathematics; Statistics; Meteorology; Artificial intelligence","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":[0.000531535,0.000351356,0.0002910397,0.0005245389,0.0001689964,0.0004612724,0.0006735634,0.0004478784,0.0007176488],"category_scores_gemma":[0.001946991,0.0002336025,0.0005478852,0.0004633554,0.0003934107,0.0003567305,0.0005899953,0.000282816,0.0001248058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659792,"about_ca_system_score_gemma":0.0004259747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627057,"about_ca_topic_score_gemma":0.01080674,"domain_scores_codex":[0.9998341,0.00006494791,0.000007640472,0.0000486629,0.00001804713,0.00002670177],"domain_scores_gemma":[0.9996583,0.0001592188,0.00008080506,0.000031468,0.00004896996,0.00002122665],"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":[0.0000146133,0.000009101197,0.00284283,0.000008110342,0.00001665103,0.00003375003,0.00002315203,0.9893499,0.000446662,0.00243707,0.00009947224,0.004718688],"study_design_scores_gemma":[0.00000124029,0.000003954313,0.001066442,0.000001033984,0.000001811774,0.00000331833,0.000004147271,0.9980287,0.00004295596,0.0007665879,0.0000781707,0.000001758175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.708762,0.0003141609,0.2871229,0.0003030704,0.00003953727,0.00002947526,0.000461054,0.0003788602,0.002588869],"genre_scores_gemma":[0.9896545,0.0000970051,0.008999634,0.00001078508,0.00001151475,0.00001579054,0.0001285492,0.00001959077,0.001062462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627057,"threshold_uncertainty_score":0.03235173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464095493098091,"score_gpt":0.2218218876015122,"score_spread":0.1971809326705313,"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."}}