{"id":"W2907109831","doi":"10.1080/10934529.2018.1537728","title":"Modified-DRASTIC, modified-SINTACS and SI methods for groundwater vulnerability assessment in the southern Tehran aquifer","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Aquifer; Vadose zone; Groundwater; Vulnerability (computing); Environmental science; Nitrate; Soil science; Hydrology (agriculture); Geology; Soil water; Computer science; Geotechnical engineering; Chemistry","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":[0.0009371731,0.0007917088,0.0005008429,0.0008925531,0.0002564899,0.0005981831,0.001490237,0.0004364351,0.0009650155],"category_scores_gemma":[0.001992569,0.0003043938,0.001441966,0.0006945943,0.0003411407,0.000708207,0.0009146769,0.0004975703,0.0001566897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009269958,"about_ca_system_score_gemma":0.001771712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02526413,"about_ca_topic_score_gemma":0.02885003,"domain_scores_codex":[0.9996328,0.0001225432,0.00003134207,0.00006415061,0.0001110766,0.00003808719],"domain_scores_gemma":[0.9992925,0.0002574191,0.0001201667,0.00008111662,0.0002174324,0.00003130974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006729484,0.00004336809,0.01584914,0.00009175221,0.0001683942,0.0001025859,0.00008395899,0.940455,0.00160498,0.003105088,0.0007792812,0.03764926],"study_design_scores_gemma":[0.00001249161,0.0000363881,0.003027304,0.000007210649,0.00002777484,0.00003554964,0.00004209074,0.994062,0.0005767639,0.001474749,0.0006849822,0.0000126724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6666083,0.000538276,0.3165823,0.0006066357,0.0001391434,0.000196686,0.00173916,0.002008131,0.01158135],"genre_scores_gemma":[0.9485417,0.0001653644,0.04917096,0.0000517165,0.00002291916,0.00007734478,0.0007395817,0.00008350637,0.001146967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02526413,"threshold_uncertainty_score":0.0502342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837081053535799,"score_gpt":0.3491864527131944,"score_spread":0.3008156421778364,"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."}}