{"id":"W2969696089","doi":"","title":"Gradients de conductivité déduits de la mesure de l’induction électromagnétique (EM38) dans une zone humide affectée par le sel, au Saskatchewan, Canada Gradientes de conductividad inferidos por lecturas de un medidor de inducción electromagnética (EM38) dentro de un humedal afectado por salinidad en Saskatchewan, Canadá 根据加拿大萨斯喀彻温省一受盐分影响的湿地内电磁感应表度数推断的传导率坡度 Gradiente de condutividade inferido por leituras de indução eletromagnética (EM38) em uma área alagada em Saskatchewan, Canadá","year":2018,"lang":"es","type":"article","venue":"Hydrogeology Journal","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Soil salinity; Environmental science; Salinity; Wetland; Hydrology (agriculture); Soil water; Arid; Vegetation (pathology); Water table; Forestry; Soil science; Geology; Groundwater; Geography; Ecology; Biology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.009670157,0.003008519,0.00297196,0.00108315,0.003964789,0.0009620338,0.00287853,0.002837051,0.0006142242],"category_scores_gemma":[0.00377548,0.003374974,0.0008810388,0.002366867,0.004178435,0.001203003,0.0007848387,0.007346422,0.00002832061],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02866072,"about_ca_system_score_gemma":0.05156548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8394684,"about_ca_topic_score_gemma":0.9620595,"domain_scores_codex":[0.9728708,0.008571425,0.002806103,0.002803887,0.001919456,0.01102837],"domain_scores_gemma":[0.9862874,0.003109991,0.002517544,0.001625472,0.0005336718,0.005925935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006520606,0.0011003,0.5146527,0.0002269066,0.002204918,0.006481746,0.04476707,0.00134473,0.4198571,0.0004149549,0.004355343,0.003942159],"study_design_scores_gemma":[0.006342204,0.002840149,0.6108783,0.0005099844,0.002171507,0.05266812,0.03141942,0.004112924,0.2753779,0.00897906,0.001477302,0.003223058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722523,0.0009801459,0.01864179,0.003974473,0.0011684,0.0016908,0.0007021796,0.0003533413,0.000236571],"genre_scores_gemma":[0.9796301,0.0003538914,0.01285247,0.003537128,0.001878996,0.000405311,0.0002906526,0.0005864862,0.0004649638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1444792,"threshold_uncertainty_score":0.9985316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004866829015800574,"score_gpt":0.2274434627668853,"score_spread":0.2225766337510848,"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."}}