{"id":"W2608053858","doi":"10.1139/as-2015-0009","title":"Active layer slope disturbances affect seasonality and composition of dissolved nitrogen export from High Arctic headwater catchments","year":2017,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Office of Polar Programs; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada; ArcticNet","keywords":"Environmental science; Surface runoff; Seasonality; Nitrate; Disturbance (geology); Hydrology (agriculture); Arctic; Nitrogen; Drainage basin; Nutrient; Ecology; Chemistry; Geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001731981,0.0001857797,0.0002464362,0.0004628819,0.0004600819,0.00081657,0.0001408378,0.0002034167,0.0005539744],"category_scores_gemma":[0.0004551543,0.0001229026,0.0002363295,0.0005822711,0.0003661772,0.0002888413,0.0004590838,0.0001614354,0.00006320026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008169494,"about_ca_system_score_gemma":0.0004463283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07001962,"about_ca_topic_score_gemma":0.1149193,"domain_scores_codex":[0.9999033,0.00001361696,0.000007706367,0.00002493798,0.00002272808,0.00002765906],"domain_scores_gemma":[0.9997765,0.00003397061,0.00008366328,0.00001128622,0.00004455026,0.00004993342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001384265,0.00005104893,0.9824058,0.00001532166,0.00005271417,0.0002556135,0.0004904094,0.0007877836,0.01288716,0.00003887615,0.00007089876,0.002805878],"study_design_scores_gemma":[0.000002175284,0.00001502636,0.9990017,0.000001442014,0.000005017958,0.00002373826,0.0001801536,0.0005007069,0.0001707515,0.000008541933,0.00008883786,0.000001944979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997756,0.00001521694,0.00002527336,0.00000503854,5.54587e-7,0.000001028319,0.00003893988,0.000002376644,0.0001359217],"genre_scores_gemma":[0.9996674,0.00002998129,0.00003874938,0.000006866756,0.00000199944,0.000001815812,0.0001271178,0.000001632758,0.0001243853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07001962,"threshold_uncertainty_score":0.1392241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452364123856313,"score_gpt":0.2853065968450961,"score_spread":0.240782955606533,"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."}}