{"id":"W2594848911","doi":"","title":"Hydrological changes prints in subarctic watersheds discharge records: a case study in the Duke River watershed, Yukon, Canada.","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Subarctic climate; Watershed; Hydrology (agriculture); Discharge; Archaeology; Environmental science; Geography; Physical geography; Geology; Drainage basin; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003339925,0.000160885,0.0001636802,0.001103568,0.001200527,0.001029105,0.0007038162,0.0003563756,0.0007168401],"category_scores_gemma":[0.001722204,0.0001395283,0.0001765846,0.004078988,0.001014389,0.0004460211,0.0006893103,0.0003375278,0.0001050458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009859436,"about_ca_system_score_gemma":0.007380557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776422,"about_ca_topic_score_gemma":0.9927263,"domain_scores_codex":[0.9996779,0.0000526547,0.0000272598,0.00005381071,0.00008223312,0.0001061129],"domain_scores_gemma":[0.9990785,0.0001604224,0.00017914,0.00006274956,0.000378516,0.000140692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006707421,0.00003619179,0.9835343,0.00003129493,0.0000477934,0.0009024155,0.00273609,0.000752639,0.0007815347,0.0001980741,0.001079811,0.009832875],"study_design_scores_gemma":[0.000001501443,0.000005678211,0.9955244,0.000006006705,0.00001006423,0.00007593176,0.0034002,0.0003657591,0.00008276856,0.00002207182,0.0005005703,0.000005098661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976584,0.00008464431,0.00007265791,0.0001211757,0.000002159327,0.00001421643,0.00122363,0.00001025515,0.000812892],"genre_scores_gemma":[0.9985563,0.00009007001,0.0001505124,0.00002100738,0.000001465796,0.000004632431,0.0006810789,0.000003407252,0.000491533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235782,"threshold_uncertainty_score":0.07153559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221354500296274,"score_gpt":0.2513496087859926,"score_spread":0.2191360637830299,"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."}}