{"id":"W4391117413","doi":"10.1039/d3em00506b","title":"Emerging investigator series: impacts of land use on dissolved organic matter quality in agricultural watersheds: a molecular perspective","year":2024,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto and Region Conservation Authority; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Brock University","keywords":"Dissolved organic carbon; Biogeochemical cycle; Environmental science; Water quality; Agriculture; Organic matter; Land use; Agricultural land; Environmental chemistry; Scale (ratio); Aquatic ecosystem; Ecology; Geography; Chemistry; Biology","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":[0.004218367,0.0007076353,0.0003740856,0.001919213,0.000785694,0.001711908,0.001326174,0.00124999,0.08177984],"category_scores_gemma":[0.002797283,0.0001845587,0.0005425765,0.002076377,0.0003538842,0.001158499,0.001703871,0.001425578,0.0122847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261636,"about_ca_system_score_gemma":0.004657594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00763022,"about_ca_topic_score_gemma":0.01770731,"domain_scores_codex":[0.9992699,0.00008647398,0.00005802383,0.0001780003,0.0002715905,0.0001359718],"domain_scores_gemma":[0.9946185,0.0005319436,0.0003703881,0.0002292509,0.00241569,0.001834307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001259694,0.001770758,0.04366818,0.001381718,0.0001109444,0.0007927382,0.0004775569,0.0005973582,0.01030338,0.003368047,0.5846808,0.3515888],"study_design_scores_gemma":[0.0004118524,0.002443619,0.1821768,0.0006057282,0.0001288322,0.0005328317,0.001937034,0.001057004,0.005557407,0.002802864,0.8022967,0.00004936587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1657147,0.02886126,0.01910449,0.07999917,0.06547119,0.01219418,0.1288813,0.001653951,0.4981197],"genre_scores_gemma":[0.2282618,0.04117159,0.0174401,0.00767155,0.03823575,0.003857218,0.1069233,0.0006183959,0.5558205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08177984,"threshold_uncertainty_score":0.2735808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007811729086132948,"score_gpt":0.2204167195069811,"score_spread":0.2126049904208482,"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."}}