{"id":"W3095997215","doi":"10.1130/abs/2020am-356261","title":"WHERE AND WHEN TRACER DATA SHOULD BE COLLECTED TO DIAGNOSE SUBSURFACE HYDROLOGIC FLOWPATHS THAT CONTROL TRANSPORT PROCESSES AT THE GROUNDWATER-SURFACE WATER INTERFACE","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"TRACER; Groundwater; Hydrology (agriculture); Interface (matter); Surface water; Environmental science; Hydrological modelling; Geology; Computer science; Environmental engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003449135,0.0008137826,0.001481425,0.001921702,0.001659816,0.004448196,0.0009852101,0.003529836,0.004060666],"category_scores_gemma":[0.007874259,0.0005480507,0.0008808546,0.001125067,0.0009971458,0.004489731,0.0005837688,0.001581637,0.002996172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002827599,"about_ca_system_score_gemma":0.008319212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05835055,"about_ca_topic_score_gemma":0.0839477,"domain_scores_codex":[0.9988329,0.0003218134,0.0001285768,0.0002114448,0.0002362487,0.0002690744],"domain_scores_gemma":[0.9954634,0.0007291982,0.0005495999,0.0002725618,0.002144485,0.000840768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002791379,0.001091585,0.4492234,0.002546241,0.0004156656,0.003768452,0.002026848,0.02038183,0.08859728,0.01198438,0.1028981,0.3142747],"study_design_scores_gemma":[0.0007836905,0.001061864,0.2484615,0.003825928,0.001996126,0.003110376,0.0171981,0.08761016,0.2846108,0.07445771,0.27591,0.0009739262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3856265,0.02303414,0.3703896,0.07276839,0.00563001,0.003470474,0.02879262,0.01413719,0.09615113],"genre_scores_gemma":[0.7300864,0.0102834,0.2392708,0.004367079,0.0007880618,0.0008673525,0.004455027,0.001245254,0.008636572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05835055,"threshold_uncertainty_score":0.1160219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752799279008887,"score_gpt":0.2312023948332725,"score_spread":0.1836744020431836,"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."}}