{"id":"W3023866727","doi":"10.1007/s00027-020-00721-3","title":"Emission of greenhouse gases from French temperate hydropower reservoirs","year":2020,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"EnGlobe (Canada); Espace pour la vie","funders":"Électricité de France","keywords":"Environmental science; Hydrology (agriculture); Greenhouse gas; Hydropower; Discharge; Particulates; Organic matter; Geology; Ecology; Drainage basin; Oceanography","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":[0.0002626622,0.0004302943,0.0002084317,0.0005604255,0.0005154366,0.0008135119,0.0001376246,0.0004505878,0.001057053],"category_scores_gemma":[0.0003442914,0.0001146382,0.0004387876,0.0006561065,0.0002077743,0.0002992866,0.0003095504,0.0002221828,0.00008662693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272399,"about_ca_system_score_gemma":0.0007624799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1951655,"about_ca_topic_score_gemma":0.1613928,"domain_scores_codex":[0.9998118,0.00004558912,0.000006959574,0.00003315114,0.00005586367,0.00004669174],"domain_scores_gemma":[0.9998298,0.0000688796,0.00002401679,0.000008850766,0.00004950667,0.00001898816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002942429,0.0002658486,0.6581479,0.000412445,0.000921822,0.003465438,0.002299217,0.1117586,0.1327267,0.003766759,0.003065956,0.08022688],"study_design_scores_gemma":[0.00004864748,0.0002693086,0.958047,0.00003669234,0.000100542,0.0001865975,0.0007804164,0.01536044,0.01828665,0.0002845698,0.006548985,0.00005010109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970089,0.0002442588,0.000244816,0.00007693595,0.000005151238,0.00000341865,0.0003101672,0.00001319991,0.002093281],"genre_scores_gemma":[0.9987179,0.0001348425,0.00007540233,0.000008765357,0.000002428066,0.000003049601,0.0001803687,0.000003108586,0.0008742659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1951655,"threshold_uncertainty_score":0.3880591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009376122671612,"score_gpt":0.2310382213009246,"score_spread":0.2009444600742085,"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."}}