{"id":"W2896919192","doi":"10.1016/j.jconhyd.2018.10.007","title":"Multi-year CO2 efflux measurements for assessing natural source zone depletion at a large hydrocarbon-impacted site","year":2018,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vadose zone; Environmental remediation; Environmental science; Groundwater; Hydrology (agriculture); Hydrocarbon; Flux (metallurgy); Oil refinery; Contamination; Soil science; Geology; Chemistry; Ecology; Geotechnical engineering; Soil water","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007663019,0.0001514981,0.0002766621,0.00009108388,0.0002997792,0.00003489479,0.000160189,0.0001353331,0.0009471792],"category_scores_gemma":[0.0002803609,0.0001219435,0.00012714,0.000108339,0.0001650754,0.0003400296,0.00008054525,0.0002510743,0.0001886998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003385361,"about_ca_system_score_gemma":0.00003147852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008562837,"about_ca_topic_score_gemma":0.002094467,"domain_scores_codex":[0.9985224,0.0001650083,0.0004801665,0.0001911718,0.0002711541,0.0003701171],"domain_scores_gemma":[0.998952,0.0001282485,0.0005502368,0.0001350949,0.0001216082,0.0001128236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009137891,0.0004969963,0.3127248,0.000009906112,0.0001341707,0.00003201899,0.001183721,0.0004947265,0.6772036,0.00003025983,0.004904127,0.001871886],"study_design_scores_gemma":[0.009790959,0.002569159,0.5867321,0.00008092234,0.0002701924,0.001760888,0.0002783505,0.1145047,0.01692975,0.00006989492,0.266458,0.0005550887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525844,0.00003017887,0.04513553,0.0005900996,0.0007104096,0.0001919177,0.000004510091,0.00001768779,0.0007352292],"genre_scores_gemma":[0.994729,0.00000488812,0.002490406,0.0005656424,0.0002163251,0.000005530022,0.00001183211,0.00001253675,0.001963836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6602738,"threshold_uncertainty_score":0.9999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250374604447401,"score_gpt":0.2932382951864844,"score_spread":0.2707345491420104,"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."}}