{"id":"W1193441318","doi":"10.13140/rg.2.2.28923.72481","title":"Approches flexibles et optimales en analyse fréquentielle régionale des crues en se basant sur les fonctions de profondeur","year":2015,"lang":"fr","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Philosophy; Political science","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":[0.003972689,0.002062445,0.001828303,0.001472075,0.0006738671,0.003363943,0.002256313,0.002061663,0.004444152],"category_scores_gemma":[0.01046366,0.001235465,0.002822257,0.001171681,0.001123086,0.002666407,0.001902002,0.002754063,0.001841088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067542,"about_ca_system_score_gemma":0.002637806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986849,"about_ca_topic_score_gemma":0.02235312,"domain_scores_codex":[0.9979417,0.0007104083,0.0001257819,0.0006336415,0.0003915348,0.0001969849],"domain_scores_gemma":[0.9953687,0.002751064,0.0003211238,0.0007168923,0.0007368742,0.0001054293],"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":[0.0001565449,0.00006810096,0.002585983,0.0001817252,0.0002150839,0.00008476223,0.0001712884,0.8907846,0.004790503,0.007599109,0.00110065,0.09226167],"study_design_scores_gemma":[0.00001710364,0.00004069952,0.001225393,0.00005718533,0.00003897545,0.00003270211,0.00006935811,0.987654,0.001621427,0.006104201,0.003108379,0.00003055515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01553838,0.000568487,0.9801078,0.0002849658,0.00005494257,0.00004748168,0.0001816604,0.0008538351,0.002362428],"genre_scores_gemma":[0.3873644,0.00127402,0.6010774,0.0003630062,0.0001729224,0.0003765539,0.001129056,0.00101167,0.007230997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01986849,"threshold_uncertainty_score":0.03950572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1346639295604377,"score_gpt":0.3350430603240541,"score_spread":0.2003791307636163,"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."}}