{"id":"W3094739464","doi":"10.1016/j.jhazmat.2020.124403","title":"Real-time soil and groundwater monitoring via spatial and temporal resolution of biogeochemical potentials","year":2020,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Suncor Energy Incorporated; Exxon Mobil Corporation; Chevron","keywords":"Biogeochemical cycle; Groundwater; Environmental science; Temporal resolution; Environmental monitoring; Remote sensing; Soil science; Hydrology (agriculture); Environmental chemistry; Environmental engineering; Geology; Chemistry; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553044,0.0001821381,0.0002495933,0.0008535173,0.0001407634,0.0005020732,0.0003741493,0.0004303622,0.0007972787],"category_scores_gemma":[0.0007102993,0.0002067359,0.0001187337,0.000993229,0.0001388697,0.0006771103,0.0004806061,0.0003218137,0.00018503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313778,"about_ca_system_score_gemma":0.0003055901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184329,"about_ca_topic_score_gemma":0.01008907,"domain_scores_codex":[0.9999133,0.00001182975,0.000003589336,0.00003172882,0.00002657675,0.00001289492],"domain_scores_gemma":[0.9996775,0.00012066,0.00006351076,0.0000312654,0.00007237554,0.00003464202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001110459,0.0006691182,0.1558476,0.0002350231,0.0002258667,0.0003174999,0.0002481785,0.1338826,0.3002903,0.00212033,0.00353608,0.401517],"study_design_scores_gemma":[0.00007938717,0.0001049176,0.1466159,0.00001277044,0.00006610728,0.0001876028,0.0001235223,0.8279086,0.0202653,0.002338378,0.002259328,0.00003812127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467062,0.0003890804,0.04762517,0.0002222044,0.00004572299,0.00002317047,0.001445122,0.0005551539,0.002988135],"genre_scores_gemma":[0.9856468,0.00008035389,0.01352848,0.00001937469,0.00001411946,0.00001053715,0.0003358443,0.00001586694,0.0003487866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004184329,"threshold_uncertainty_score":0.008319974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380143555288223,"score_gpt":0.2176290114420106,"score_spread":0.2038275758891284,"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."}}