{"id":"W7000428540","doi":"","title":"Évaluer l'évolution du régime hydrique à partir d'une configuration alternative de la chaîne de modélisation hydroclimatique dans un contexte de rareté des observations.","year":2020,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Mitacs; Ministry of Environment; Canadian Foundation for Climate and Atmospheric Sciences; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Statistical analysis; Center pivot irrigation; Drainage basin; Drainage network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164366,0.0005081313,0.0004841891,0.0003268574,0.0003379353,0.001268024,0.0008935683,0.0009810022,0.002191148],"category_scores_gemma":[0.004599089,0.0003736335,0.0006550864,0.0003636003,0.0004496887,0.00104875,0.0007816386,0.0009789678,0.0002934299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007551231,"about_ca_system_score_gemma":0.001051877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382339,"about_ca_topic_score_gemma":0.01199553,"domain_scores_codex":[0.9997029,0.0001052723,0.00001440222,0.00009351772,0.00004684627,0.00003705676],"domain_scores_gemma":[0.9981688,0.001149518,0.0001540754,0.0002070969,0.0002286365,0.00009187355],"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":[0.0001695225,0.00005730407,0.01412359,0.00009475718,0.0001007164,0.00006804377,0.00007869615,0.9681603,0.003824482,0.002529504,0.0002602377,0.01053282],"study_design_scores_gemma":[0.0000215701,0.00007156007,0.003741778,0.00001853448,0.00003121789,0.00001765819,0.0000324325,0.9917204,0.001949149,0.001701487,0.0006753973,0.00001878964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798614,0.0007905367,0.2100823,0.0005067156,0.0001081577,0.0001461306,0.0009415789,0.0005765447,0.006986703],"genre_scores_gemma":[0.9717411,0.0001343592,0.02614493,0.00003874065,0.00001314614,0.00009537477,0.0004632059,0.00005861049,0.001310562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382339,"threshold_uncertainty_score":0.02748585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386007254838667,"score_gpt":0.20372070470357,"score_spread":0.1898606321551833,"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."}}