{"id":"W4327519687","doi":"10.2139/ssrn.4379752","title":"Copula-Based Joint Modelling of Extreme River Temperature and Low Flow Characteristics in the Risk Assessment of Aquatic Life","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Copula (linguistics); Environmental science; Joint (building); Risk assessment; Econometrics; Computer science; Engineering; Mathematics; Civil engineering","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":[0.0008674502,0.0004869653,0.0008014995,0.000434863,0.0002425099,0.00100908,0.000856953,0.0006533048,0.001122449],"category_scores_gemma":[0.002940821,0.0004024225,0.0006067863,0.0006504321,0.0003458603,0.0009341478,0.0006065918,0.0007857262,0.0002476276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501122,"about_ca_system_score_gemma":0.0007352308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02531046,"about_ca_topic_score_gemma":0.01452788,"domain_scores_codex":[0.9997817,0.00009275506,0.00001144993,0.00004918429,0.00003141128,0.0000334835],"domain_scores_gemma":[0.9990627,0.0006027934,0.0001076855,0.00003775904,0.000129881,0.00005908759],"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":[0.00001594471,0.0000108966,0.000659054,0.000006868784,0.0000268994,0.00001761188,0.00001022057,0.9956869,0.0002253132,0.0008250909,0.0001056557,0.00240941],"study_design_scores_gemma":[5.084091e-7,0.000002616793,0.0001477022,5.171922e-7,0.000002320867,0.000001946134,0.000001196009,0.9996209,0.00002200802,0.00018384,0.00001515487,0.00000127433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4122097,0.0006639048,0.581922,0.0002891001,0.00008236663,0.00004801838,0.0003784697,0.0004161145,0.003990274],"genre_scores_gemma":[0.987432,0.0001862683,0.01014077,0.00002407316,0.00002353882,0.00002616973,0.000153958,0.00004748705,0.00196567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02531046,"threshold_uncertainty_score":0.05032629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780313946098354,"score_gpt":0.2379765620658189,"score_spread":0.2001734226048353,"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."}}