{"id":"W2557040035","doi":"10.1016/j.jconhyd.2016.11.001","title":"Delineating baseflow contribution areas for streams – A model and methods comparison","year":2016,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Baseflow; STREAMS; Environmental science; Hydrology (agriculture); Watershed; Discharge; Tracking (education); Plume; Particle (ecology); Computer science; Geology; Drainage basin; Meteorology; Streamflow; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001384069,0.0005841054,0.0005002309,0.001045701,0.0003291809,0.001190452,0.001135105,0.0006383337,0.001312783],"category_scores_gemma":[0.003287641,0.0003038745,0.0005246616,0.0008595224,0.0002229575,0.0008023951,0.0004904383,0.0004658221,0.0002601165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772332,"about_ca_system_score_gemma":0.001916938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07142557,"about_ca_topic_score_gemma":0.06621215,"domain_scores_codex":[0.9995009,0.0001349639,0.00004421388,0.0001010631,0.0001795918,0.00003931617],"domain_scores_gemma":[0.9990228,0.000553969,0.00006471296,0.0001199473,0.0002178529,0.00002077935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002663374,0.0001701956,0.02364161,0.0002046094,0.00009523972,0.0001298633,0.000241988,0.7978961,0.00502937,0.004636358,0.001569952,0.1661182],"study_design_scores_gemma":[0.0000225439,0.00003662755,0.004467107,0.00002425835,0.00001757265,0.00004181481,0.00007052614,0.9875774,0.003551787,0.001218663,0.002942396,0.00002927938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2381202,0.0009942215,0.7483256,0.0003081732,0.0000429787,0.0006400038,0.002005726,0.002646874,0.006916129],"genre_scores_gemma":[0.5792317,0.001357082,0.4143305,0.00007038685,0.00002027679,0.0006631044,0.001545605,0.0005830544,0.002198272],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07142557,"threshold_uncertainty_score":0.1420196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688606646131906,"score_gpt":0.3131702886922387,"score_spread":0.2962842222309196,"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."}}