{"id":"W948020987","doi":"10.3233/ajw-2006-3_1_11","title":"Environmental Assessment of Tannery Wastes from Chittagong, Bangladesh","year":2006,"lang":"en","type":"article","venue":"Asian Journal of Water Environment and Pollution","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Water resource management; Geography; Environmental protection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001541491,0.00047042,0.0002053884,0.0008832482,0.000554481,0.000901896,0.0001563557,0.0004286702,0.001112281],"category_scores_gemma":[0.000195263,0.0001638005,0.0001926572,0.001011587,0.0002081271,0.0002425212,0.0003706941,0.0001912729,0.0002468515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006518681,"about_ca_system_score_gemma":0.0005422679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02435199,"about_ca_topic_score_gemma":0.05828328,"domain_scores_codex":[0.9998379,0.00002395506,0.00001550856,0.00002415706,0.00007661666,0.00002181988],"domain_scores_gemma":[0.9998902,0.00001697379,0.00001845546,0.000003792468,0.00005912751,0.00001136484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004916802,0.0001687211,0.5390704,0.001153925,0.0001110076,0.002522361,0.002123444,0.004623204,0.3708034,0.0004135619,0.000824511,0.07769389],"study_design_scores_gemma":[0.00004010065,0.0008712382,0.9083076,0.0001680196,0.0001269359,0.001221478,0.006537232,0.003025848,0.06447332,0.0004210964,0.01475267,0.0000545604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956701,0.0002762341,0.0002481946,0.00003864575,0.000002625801,0.0000281972,0.0004464554,0.000006294964,0.003283396],"genre_scores_gemma":[0.9952152,0.0007990755,0.0005458209,0.00004556183,0.000002029199,0.00002823435,0.0007555007,0.000006099873,0.002602455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02435199,"threshold_uncertainty_score":0.04842049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00259110058665962,"score_gpt":0.1754977312672169,"score_spread":0.1729066306805573,"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."}}