{"id":"W4413445456","doi":"10.1016/j.catena.2025.109361","title":"Hillslope hydrologic influences on soil dissolved organic carbon fate informs extreme precipitation impacts on boreal forest mineral soil stocks","year":2025,"lang":"en","type":"article","venue":"CATENA","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexus Clinical Research (Canada); Memorial University of Newfoundland","funders":"Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Taiga; Environmental science; Boreal; Soil carbon; Precipitation; Soil science; Dissolved organic carbon; Hydrology (agriculture); Soil water; Geology; Forestry; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003070933,0.0001889262,0.0001969053,0.0003507507,0.0002922197,0.0006553071,0.0001946163,0.0001991339,0.0009083624],"category_scores_gemma":[0.0004459898,0.0001338691,0.0002330725,0.0003937398,0.0002787131,0.0003529114,0.000262691,0.0001847513,0.0001001471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004361554,"about_ca_system_score_gemma":0.0003008486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03007251,"about_ca_topic_score_gemma":0.07239888,"domain_scores_codex":[0.9998759,0.00002410394,0.000009761638,0.00004372781,0.00001584759,0.00003058028],"domain_scores_gemma":[0.999622,0.0000678763,0.0001508213,0.00002921376,0.00005739567,0.00007255798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001074401,0.00002612799,0.9887742,0.00001433014,0.00005076838,0.00005365893,0.0001441595,0.0003455666,0.007829376,0.00003754405,0.00009402457,0.002522835],"study_design_scores_gemma":[8.947028e-7,0.000009105425,0.999507,9.248308e-7,0.000005046908,0.00001003055,0.00006518209,0.0002378291,0.0000940938,0.000008137118,0.00006038882,0.000001349287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992821,0.00005127464,0.0001019821,0.00001431836,0.000001810727,0.000002862184,0.0002445547,0.000007447205,0.0002937451],"genre_scores_gemma":[0.9994987,0.00002515572,0.0001408984,0.00001065571,0.000002449459,0.000002739643,0.0002421855,0.000002709123,0.00007448817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03007251,"threshold_uncertainty_score":0.05979496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009371929974306,"score_gpt":0.2411293714016534,"score_spread":0.2110356521019103,"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."}}