{"id":"W2232455610","doi":"10.1007/s10661-015-4855-1","title":"Use of statistical and GIS techniques to assess and predict concentrations of heavy metals in soils of Lahore City, Pakistan","year":2015,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Wilfrid Laurier University","funders":"","keywords":"Ecotoxicology; Soil water; Heavy metals; Environmental science; Statistical analysis; Environmental chemistry; Statistics; Soil science; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384774,0.00007874775,0.0001806675,0.00003079531,0.00002166823,0.00002310629,0.00007475989,0.0000341103,0.000002174965],"category_scores_gemma":[0.00002291703,0.00007406584,0.00000946155,0.00004732045,0.0001226038,0.0001350691,0.0002202155,0.00006514339,3.312607e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002657559,"about_ca_system_score_gemma":0.00001893882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000075695,"about_ca_topic_score_gemma":0.000001319091,"domain_scores_codex":[0.9992757,0.00004618173,0.0002341772,0.0001806928,0.0001634893,0.00009978476],"domain_scores_gemma":[0.9995924,0.00009735412,0.0000787325,0.0001296177,0.000009873577,0.00009206698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001181824,0.0002038221,0.905358,0.00008203792,0.00002429894,0.000006619028,0.0008003205,0.00008511261,0.0786664,0.002584161,0.00002391068,0.01215357],"study_design_scores_gemma":[0.0002786726,0.0003678731,0.7262887,0.0001333741,0.00001519267,0.000007386639,0.0008763089,0.001225763,0.2691368,0.001082946,0.0004601467,0.0001268143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775591,0.00007621681,0.02181757,0.0001334203,0.00003268657,0.0001352422,0.00003675519,0.000008143938,0.0002008996],"genre_scores_gemma":[0.9378829,0.00007279922,0.06199678,0.000003105619,0.000009128512,0.00001031597,0.000002897113,0.000001326779,0.00002075142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1904705,"threshold_uncertainty_score":0.3020317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05851205316117281,"score_gpt":0.3243890251233481,"score_spread":0.2658769719621753,"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."}}