{"id":"W33371570","doi":"10.1111/1541-4337.12269","title":"Kesan antropogenik terhadap kualiti air di lembangan sungai marang, perairan Selatan Laut China Selatan","year":2013,"lang":"en","type":"article","venue":"Sains Malaysiana","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Environmental science; Environmental chemistry; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004445333,0.0008801893,0.0003955488,0.0008768607,0.001523429,0.002095784,0.000455769,0.0005193576,0.04480838],"category_scores_gemma":[0.0004374814,0.0003039716,0.0003533985,0.001042469,0.0004362192,0.001147616,0.001224416,0.001185124,0.0172042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007693212,"about_ca_system_score_gemma":0.002699317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688696,"about_ca_topic_score_gemma":0.004577002,"domain_scores_codex":[0.999731,0.0000353967,0.00002504942,0.00007256008,0.00008063881,0.0000552747],"domain_scores_gemma":[0.99963,0.00008433138,0.0000497511,0.0000316577,0.0001472068,0.000057128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000841901,0.0004717186,0.01659377,0.002235378,0.0000888752,0.003239044,0.001790012,0.002115356,0.04452005,0.01359026,0.03716972,0.8773439],"study_design_scores_gemma":[0.00004062627,0.000433074,0.03247612,0.0006691478,0.0001408439,0.006791508,0.003322077,0.003205503,0.03235487,0.002669641,0.917816,0.00008054334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3073531,0.1286604,0.02647429,0.01466116,0.005164902,0.0005137025,0.00180969,0.001233149,0.5141297],"genre_scores_gemma":[0.3624562,0.07244562,0.01729548,0.001052534,0.0004678797,0.0002138796,0.001209928,0.0002314388,0.544627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04480838,"threshold_uncertainty_score":0.149899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008066765187539342,"score_gpt":0.2225272270641943,"score_spread":0.214460461876655,"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."}}