{"id":"W2030549477","doi":"10.1100/2012/652150","title":"Spatial Variability of Metals in Surface Water and Sediment in the Langat River and Geochemical Factors That Influence Their Water-Sediment Interactions","year":2012,"lang":"en","type":"article","venue":"The Scientific World JOURNAL","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Putra Malaysia; The Academy of Sciences for the Developing World","keywords":"Sediment; Environmental chemistry; Water quality; Environmental science; Pollution; Surface water; Metal; Heavy metals; Chemistry; Hydrology (agriculture); Environmental engineering; Geology","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":[0.0001989711,0.0001435778,0.0002491342,0.0006948698,0.0003240748,0.000463782,0.0001899553,0.0002404227,0.0002944034],"category_scores_gemma":[0.0002162847,0.0001848103,0.000213323,0.0007942527,0.0003545678,0.0003212439,0.0003164336,0.0001059278,0.0001148272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228074,"about_ca_system_score_gemma":0.0003164698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637754,"about_ca_topic_score_gemma":0.03205011,"domain_scores_codex":[0.9997998,0.0000180492,0.00001375087,0.0001062346,0.00003454987,0.00002770868],"domain_scores_gemma":[0.9997782,0.00003569241,0.00007765633,0.00001523368,0.00007408924,0.00001906516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001364197,0.00002467039,0.9625661,0.00004425694,0.00006011751,0.0002198776,0.0006806851,0.0005258026,0.0255152,0.00007843634,0.00006894767,0.01007935],"study_design_scores_gemma":[0.000001942903,0.00002808421,0.9980468,0.000002199461,0.00001387161,0.0001061243,0.0003128955,0.0004938939,0.0006437703,0.0000273495,0.0003182044,0.00000476209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99925,0.0001309574,0.0002172451,0.000008422487,0.000001131261,0.000001576387,0.00008175504,0.000008491475,0.0003003878],"genre_scores_gemma":[0.9992956,0.00005734882,0.0002219155,0.000005274715,0.000002491684,0.00000438249,0.0001125194,0.000002219028,0.0002982372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637754,"threshold_uncertainty_score":0.0325644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886941361028976,"score_gpt":0.2425053627602581,"score_spread":0.2236359491499684,"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."}}