{"id":"W1545116099","doi":"10.1029/2008wr006936","title":"Versatile direct push profiler for the investigation of volatile compounds near the water table","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; University of Waterloo","keywords":"Vadose zone; Water table; Table (database); Aquifer; Environmental science; Water quality; Hydrology (agriculture); Sampling (signal processing); Groundwater; Geology; Database; Geotechnical engineering; Engineering; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005515652,0.0005662777,0.0004929324,0.0007514516,0.0004230516,0.0004776974,0.0006970988,0.0004697046,0.003697252],"category_scores_gemma":[0.0009348005,0.0004097914,0.0002670135,0.0005803281,0.0002855038,0.0005821282,0.0007756637,0.0006590196,0.001516744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914045,"about_ca_system_score_gemma":0.0004775151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224031,"about_ca_topic_score_gemma":0.004062548,"domain_scores_codex":[0.9994587,0.00004189952,0.00002102825,0.0001197156,0.0003151696,0.00004360947],"domain_scores_gemma":[0.999388,0.0002743596,0.00006876931,0.00009015793,0.0001380578,0.00004071914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001051955,0.00003361404,0.002858555,0.0001137896,0.000009815372,0.00010313,0.00006795892,0.0001706992,0.963491,0.0002627209,0.001043137,0.03174039],"study_design_scores_gemma":[0.00004005425,0.0005228816,0.0290614,0.00002943764,0.00005429991,0.001119,0.000190463,0.01058366,0.9336744,0.0004313159,0.02422605,0.00006696779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3974617,0.001198657,0.576997,0.0003047673,0.0001552472,0.001096879,0.006429011,0.005831188,0.01052549],"genre_scores_gemma":[0.4460236,0.002005892,0.5327354,0.0003586599,0.00008339516,0.00154219,0.002682233,0.0004766113,0.01409204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003697252,"threshold_uncertainty_score":0.0123685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05917385167723961,"score_gpt":0.2783019145355959,"score_spread":0.2191280628583563,"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."}}