{"id":"W2903387880","doi":"","title":"Coupling reactive transport and travel time modeling at the watershed scale","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Scale (ratio); Coupling (piping); Travel time; Environmental science; Statistical physics; Hydrology (agriculture); Geography; Computer science; Geology; Transport engineering; Physics; Engineering; Cartography; Geotechnical engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007144283,0.0006167505,0.0003922622,0.0005607124,0.0004704648,0.001217245,0.00140619,0.001038215,0.001149099],"category_scores_gemma":[0.002145296,0.000476282,0.0007104604,0.0007211991,0.0006989983,0.00127028,0.0009786087,0.0007639516,0.0001534295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478691,"about_ca_system_score_gemma":0.001785979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03748829,"about_ca_topic_score_gemma":0.01851867,"domain_scores_codex":[0.9997273,0.00008286851,0.00002039032,0.00006633288,0.00006855244,0.00003460197],"domain_scores_gemma":[0.9991447,0.0005391875,0.0001044208,0.00005645527,0.0001170687,0.00003815113],"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":[0.000005591773,0.00001771226,0.0004778023,0.000009024246,0.000005918504,0.00001489013,0.00003043441,0.9916459,0.0008293241,0.003798616,0.00005073518,0.003114187],"study_design_scores_gemma":[0.000001592419,0.000004805825,0.00006963682,9.019394e-7,0.000001672372,0.000002587272,0.000007105868,0.9985038,0.000221136,0.0009957193,0.0001889013,0.000002237445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.106884,0.00007075119,0.8865798,0.0002296737,0.0000397116,0.000109587,0.0001523988,0.0003921204,0.005541919],"genre_scores_gemma":[0.8404186,0.0002385168,0.1552397,0.00006918982,0.00002827558,0.0001886187,0.0001962791,0.0001011248,0.003519748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03748829,"threshold_uncertainty_score":0.07454014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007296699177009325,"score_gpt":0.1804281072978662,"score_spread":0.1731314081208569,"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."}}