{"id":"W2606624636","doi":"10.3390/f8040124","title":"Distribution of Soil Organic Carbon in Riparian Forest Soils Affected by Frequent Floods (Southern Québec, Canada)","year":2017,"lang":"en","type":"article","venue":"Forests","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Soil water; Riparian zone; Floodplain; Environmental science; Transect; Hydrology (agriculture); Soil carbon; Flood myth; Soil texture; Total organic carbon; Soil science; Spatial distribution; Wetland; Geology; Ecology; Geography; Habitat; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001472104,0.0002635512,0.0001995894,0.001001906,0.001447585,0.0006423144,0.000531339,0.0002729331,0.001978877],"category_scores_gemma":[0.0003565207,0.0001534746,0.0001813185,0.001915925,0.0005966324,0.0001954957,0.0003320999,0.0002003819,0.000186332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01015775,"about_ca_system_score_gemma":0.006078461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907037,"about_ca_topic_score_gemma":0.9966778,"domain_scores_codex":[0.9998506,0.000007436634,0.000007838995,0.00003940968,0.00003848611,0.00005610311],"domain_scores_gemma":[0.9994946,0.00004161104,0.0000952955,0.00001277802,0.0002104405,0.0001453227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001567179,0.00005221831,0.9821668,0.00005652051,0.00005785925,0.0002775036,0.001156055,0.0003114147,0.005292312,0.00007105329,0.0008049599,0.00959661],"study_design_scores_gemma":[0.000002044247,0.000008494149,0.9991033,0.000004594165,0.000004238325,0.00001929575,0.0004538433,0.0001242004,0.00006457163,0.000003756925,0.0002077008,0.00000391617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972416,0.0001526364,0.00005094451,0.00003420402,0.000001768456,0.00001686539,0.001505546,0.000007740566,0.0009886266],"genre_scores_gemma":[0.9975994,0.0001272239,0.0001380037,0.00002934016,0.000001462337,0.00001035555,0.0009427423,0.000002654013,0.001148746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01015775,"threshold_uncertainty_score":0.07369995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009398547860774879,"score_gpt":0.194263874890717,"score_spread":0.1848653270299421,"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."}}