{"id":"W4405695194","doi":"10.1016/j.rineng.2024.103673","title":"Assessment of heavy metal contamination in surface sediments: Seasonal influence in the Majes-Camaná basin of the Arequipa region, Peru","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contamination; Structural basin; Heavy metals; Environmental science; Geology; Hydrology (agriculture); Oceanography; Environmental chemistry; Geomorphology; Chemistry; Ecology; Geotechnical engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002896526,0.0003077645,0.0001998726,0.001159626,0.0004345209,0.0006706758,0.0002681557,0.0003872697,0.0004365039],"category_scores_gemma":[0.0005003769,0.0002289365,0.0002145788,0.001292744,0.000446121,0.0003136374,0.0007414878,0.0001583015,0.00008099242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151246,"about_ca_system_score_gemma":0.0002975613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0155949,"about_ca_topic_score_gemma":0.03835917,"domain_scores_codex":[0.9998382,0.00004604229,0.00001491963,0.0000383062,0.00003783888,0.00002470307],"domain_scores_gemma":[0.9997582,0.00005419317,0.00008216181,0.0000125211,0.00007204751,0.00002092489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007782422,0.00004790575,0.9741788,0.0001525304,0.00007450498,0.0007794547,0.001854927,0.0002325973,0.01331078,0.00005329431,0.0001017538,0.009135622],"study_design_scores_gemma":[0.000001850878,0.00005178902,0.9981092,0.000007195306,0.000009869093,0.0001663873,0.000858232,0.0001672017,0.0002682801,0.0000179426,0.0003389497,0.000003048411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989302,0.0001483853,0.000115219,0.00002787277,8.506323e-7,0.00001639176,0.0001614795,0.000007037226,0.0005924958],"genre_scores_gemma":[0.9989197,0.0001780013,0.0003208906,0.00001225481,0.000002593529,0.00002958156,0.0002685356,0.000002087117,0.0002662955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0155949,"threshold_uncertainty_score":0.03100824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00965072385596776,"score_gpt":0.2477489278205242,"score_spread":0.2380982039645564,"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."}}