{"id":"W6960219581","doi":"10.13140/rg.2.2.28191.94886","title":"Projet EPERLAB : Ensemble pour l'étude et la restauration de la rivière Boyer - Rapport final Projet conjoint du programme Odyssée Saint-Laurent du Réseau Québec maritime (RQM) et du programme Affluents Maritime du Regroupement des organismes de Bassins Versants du Québec (ROBVQ). (Hydrometrics, hydrologic modeling and hydrogeomorphologic modeling of Boyer River Watershed, Quebec, Canada)","year":2024,"lang":"fr","type":"article","venue":"","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Port (circuit theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006246635,0.001325221,0.0007266679,0.001509214,0.001308575,0.002140324,0.002038816,0.0009970583,0.04487575],"category_scores_gemma":[0.002760577,0.0003906973,0.0007833361,0.000942805,0.0006928139,0.00102623,0.00169145,0.001380617,0.01083007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01037249,"about_ca_system_score_gemma":0.03138324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7075455,"about_ca_topic_score_gemma":0.6347342,"domain_scores_codex":[0.9983657,0.0003315793,0.00003549727,0.0002722455,0.0006599306,0.0003350549],"domain_scores_gemma":[0.9945797,0.0003936178,0.0001787321,0.0003232388,0.002733373,0.00179146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003619682,0.001044078,0.04863418,0.0005451172,0.0002575716,0.0006397508,0.001200613,0.01594967,0.02491747,0.0158306,0.4986328,0.3887285],"study_design_scores_gemma":[0.0006665403,0.0005927756,0.1195323,0.0001778766,0.00006200695,0.0001748689,0.0006601843,0.01360988,0.009797447,0.001304586,0.8533206,0.0001009557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.24895,0.01839497,0.1900896,0.02315044,0.003873758,0.006236713,0.1937749,0.02251157,0.293018],"genre_scores_gemma":[0.3270042,0.003259477,0.09826456,0.001357816,0.0005229073,0.002394869,0.07536779,0.003746176,0.4880822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2924545,"threshold_uncertainty_score":0.5883536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943496011043827,"score_gpt":0.2342380179181992,"score_spread":0.1948030578077609,"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."}}