{"id":"W6964015857","doi":"10.22034/gjesm.2023.04.15","title":"Harbor water pollution by heavy metal concentrations in sediments","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; Sediment; Water quality; Water pollution; Contamination; Mercury (programming language); Heavy metals; Eutrophication","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":[0.0001689281,0.0003448731,0.0001414927,0.001039281,0.0003632031,0.0007985831,0.000156519,0.0002178369,0.0009784275],"category_scores_gemma":[0.000332966,0.0002185857,0.0002375465,0.001093514,0.0003840203,0.0002793712,0.0004053917,0.0002030745,0.0001913683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008877516,"about_ca_system_score_gemma":0.0006702442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02604487,"about_ca_topic_score_gemma":0.03030481,"domain_scores_codex":[0.9996668,0.0000363817,0.00004337112,0.00007071008,0.0001368538,0.0000459387],"domain_scores_gemma":[0.9995397,0.00002661561,0.0002536919,0.000009853893,0.0001327624,0.00003742009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006127359,0.0001138949,0.9022037,0.0002539789,0.0001212166,0.000428793,0.0004639244,0.0004639084,0.08142866,0.0001013139,0.0003719734,0.01343589],"study_design_scores_gemma":[0.000006047366,0.0002639562,0.983085,0.00002312895,0.00005858282,0.0002742528,0.0003289471,0.0002611376,0.01408009,0.00007467404,0.001533631,0.00001066938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974551,0.0006431267,0.0003093576,0.00002464292,0.000009086152,0.00001466106,0.0002792729,0.00001763684,0.001247169],"genre_scores_gemma":[0.9979408,0.0002891765,0.0004373624,0.00001985019,0.000006334702,0.000007959695,0.0003240273,0.000003079733,0.0009715143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02604487,"threshold_uncertainty_score":0.05178654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501595407348341,"score_gpt":0.4901386442325932,"score_spread":0.3399791034977591,"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."}}