{"id":"W4414212943","doi":"10.34133/olar.0109","title":"River-to-Lake Transitional Areas Contribute Disproportionately to In-Lake Nutrient Loading","year":2025,"lang":"en","type":"article","venue":"Ocean-Land-Atmosphere Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Canada Research Chairs","keywords":"Nutrient; Biogeochemical cycle; Tributary; Phosphorus; Hydrology (agriculture); Eutrophication; Aquatic ecosystem; Nutrient pollution; Water quality","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":[0.0001989848,0.0003890364,0.0005302097,0.0006529674,0.0007696731,0.001353611,0.0003391724,0.0002816205,0.001444617],"category_scores_gemma":[0.000746963,0.0002603847,0.0003848768,0.001033051,0.0005223553,0.0005402574,0.001869891,0.0002423088,0.0001855436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009055928,"about_ca_system_score_gemma":0.0008499236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304411,"about_ca_topic_score_gemma":0.07188845,"domain_scores_codex":[0.9996806,0.0000265296,0.00003364791,0.0001091345,0.00004439788,0.0001056668],"domain_scores_gemma":[0.9996365,0.00003657346,0.0001255013,0.00004718743,0.00009622636,0.00005802713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002897057,0.0001020865,0.9057389,0.0001482204,0.0002335172,0.0003750651,0.001590949,0.001362867,0.07105194,0.0003308114,0.0003704392,0.01840541],"study_design_scores_gemma":[0.000003068733,0.0000395831,0.9946809,0.000008061383,0.00004755008,0.00005983691,0.0005383725,0.0008173925,0.002554815,0.00007574619,0.001164416,0.00001026525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987539,0.00005811396,0.0003059937,0.00002001262,0.000002221731,0.000007920508,0.0001721641,0.00003702938,0.0006425427],"genre_scores_gemma":[0.998498,0.00006558051,0.0005556823,0.00003260965,0.000002207364,0.0000151987,0.0003275578,0.00002015093,0.0004830619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02304411,"threshold_uncertainty_score":0.04581994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708319845274821,"score_gpt":0.297994430485949,"score_spread":0.2809112320332008,"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."}}