{"id":"W2897856296","doi":"10.21315/jps2018.29.s3.10","title":"Heavy Metal Concentrations in Tin Mine Effluents in Kepayang River, Perak, Malaysia","year":2018,"lang":"en","type":"article","venue":"Journal of Physical Science","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Putra Malaysia","keywords":"Arsenic; Barium; Tin; Cadmium; Effluent; Environmental chemistry; Manganese; Zinc; Inductively coupled plasma mass spectrometry; Christian ministry; Cobalt; Chromium; Tailings; Metallurgy; Environmental science; Sediment; Cassiterite; Metal; Chemistry; Materials science; Environmental engineering; Mass spectrometry; 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":[0.0002725314,0.0002997984,0.0002579924,0.001083235,0.0004942756,0.0006759424,0.0002679908,0.0004737942,0.0003535839],"category_scores_gemma":[0.0002808307,0.00025931,0.0001757097,0.0009055109,0.0002983527,0.0002484107,0.0002928704,0.0001947431,0.0001502161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270426,"about_ca_system_score_gemma":0.000455181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009961292,"about_ca_topic_score_gemma":0.02096009,"domain_scores_codex":[0.9997846,0.00003100586,0.00003504098,0.0000593821,0.00006914264,0.0000208347],"domain_scores_gemma":[0.9998524,0.00002057633,0.00004521345,0.000007409986,0.00005290249,0.0000214384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005629206,0.0002377349,0.8208194,0.0004774849,0.0001046967,0.0009761922,0.003837056,0.0008557559,0.1437998,0.0001277481,0.000228401,0.02797276],"study_design_scores_gemma":[0.000008364502,0.0003838211,0.9730167,0.00003867374,0.00004448057,0.0008549364,0.003012374,0.0008356847,0.01993971,0.0000737512,0.001772342,0.00001902662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991491,0.00009931316,0.0001021609,0.000008879968,0.000002017241,0.000005437459,0.0001474601,0.000005314114,0.0004802501],"genre_scores_gemma":[0.9971034,0.0002069526,0.0005437396,0.00002044132,0.000001995056,0.00001312546,0.0002110582,0.000002077497,0.001897223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009961292,"threshold_uncertainty_score":0.01980662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083439218226541,"score_gpt":0.2755249284095314,"score_spread":0.264690536227266,"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."}}