{"id":"W4416715594","doi":"10.1016/j.jhydrol.2025.134656","title":"Evolution of particulate organic carbon fluxes in large river basins and their ecological driving mechanisms (1985–2021)","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Watershed; Flux (metallurgy); Surface runoff; Carbon cycle; Hydrology (agriculture); Drainage basin; Vegetation (pathology); Water cycle","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":[0.0008034648,0.0002101793,0.0001641675,0.0007470716,0.0005195301,0.000751821,0.0003094445,0.0007069474,0.001619249],"category_scores_gemma":[0.001876374,0.0003102873,0.000449917,0.0008881312,0.0006088641,0.0004627255,0.0005935336,0.0005227562,0.0003896256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097184,"about_ca_system_score_gemma":0.0005526522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03558084,"about_ca_topic_score_gemma":0.04627011,"domain_scores_codex":[0.999866,0.00003303638,0.00001024681,0.00004179452,0.00001417065,0.00003465707],"domain_scores_gemma":[0.9987374,0.0004680596,0.0003485759,0.00008280343,0.0002025921,0.0001604856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000342616,0.00006401859,0.9840419,0.000022983,0.0001439015,0.0001677648,0.0004257207,0.002313615,0.005764399,0.0005357313,0.0003678456,0.005809494],"study_design_scores_gemma":[0.000002075871,0.000007745081,0.9989497,0.000002023759,0.00000982706,0.00002893026,0.00007609187,0.0006106235,0.0001201976,0.00004368576,0.000145783,0.000003356485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989754,0.0001022948,0.00009831893,0.00009117884,0.000002972012,0.000001908013,0.0002400804,0.000004766566,0.0004830383],"genre_scores_gemma":[0.9992903,0.00004388927,0.00007716071,0.0000193976,0.000002626807,0.000003039676,0.0002969525,0.000002268004,0.0002642239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03558084,"threshold_uncertainty_score":0.07074749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004283679722205244,"score_gpt":0.2010429455425504,"score_spread":0.1967592658203452,"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."}}