{"id":"W2341626894","doi":"10.1680/jgein.16.00006","title":"Polychlorinated biphenyl diffusion through HDPE geomembrane","year":2016,"lang":"en","type":"article","venue":"Geosynthetics International","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación","keywords":"Geomembrane; High-density polyethylene; Composite number; Diffusion; Partition coefficient; Environmental science; Aquifer; Vinyl chloride; Materials science; Municipal solid waste; Geotechnical engineering; Polyethylene; Environmental engineering; Environmental chemistry; Groundwater; Composite material; Chemistry; Waste management; Geology; Polymer; Chromatography; Thermodynamics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003642487,0.0003193244,0.0002545883,0.0001105112,0.0002782638,0.0002856936,0.0001894309,0.0002862751,0.0005861572],"category_scores_gemma":[0.0003347768,0.0001153444,0.0001511909,0.0001632463,0.0001922044,0.0003372726,0.000179249,0.0002566362,0.0001421606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154771,"about_ca_system_score_gemma":0.000276657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341525,"about_ca_topic_score_gemma":0.002272489,"domain_scores_codex":[0.9997924,0.00003409501,0.00001414352,0.00005962857,0.00005996256,0.00003982212],"domain_scores_gemma":[0.9998255,0.00005892245,0.00004340975,0.00001534214,0.00004622641,0.00001056092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006084895,0.00001233909,0.0003648333,0.00002332148,0.000002575667,0.00001820043,0.00001499437,0.0002814448,0.9983402,0.00006104627,0.0000136319,0.0008064779],"study_design_scores_gemma":[0.000006764616,0.0001795413,0.001203886,0.00000175257,0.000005149635,0.00003334382,0.00002257624,0.001994395,0.9961505,0.00002234966,0.0003747977,0.000005040885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968165,0.00005811833,0.00262533,0.00001929225,0.000004325197,0.00001406328,0.00009992614,0.00002051348,0.0003421169],"genre_scores_gemma":[0.9939331,0.0001805494,0.004320999,0.00001390271,0.000001942933,0.0000196928,0.000118693,0.000005609889,0.001405498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003341525,"threshold_uncertainty_score":0.00664413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009456587899521097,"score_gpt":0.2265669229092378,"score_spread":0.2171103350097167,"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."}}