{"id":"W2552608258","doi":"","title":"CONTAINMENT OF ORGANIC CONTAMINANTS USING GEOSYNTHETICS","year":2016,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Antarctic Division; Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada; Queen's University; Dalhousie University","keywords":"Containment (computer programming); Contamination; Environmental science; Geosynthetics; Waste management; Geology; Computer science; Engineering; Geotechnical engineering","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":[0.0002039018,0.0004936224,0.0002616437,0.0002988846,0.000198831,0.0004864232,0.0003757046,0.0003788684,0.001375771],"category_scores_gemma":[0.0003713819,0.0001343276,0.0003342945,0.0002446836,0.0002364501,0.0005125895,0.0004532881,0.0002704505,0.000597199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880345,"about_ca_system_score_gemma":0.0002829487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000885445,"about_ca_topic_score_gemma":0.001281514,"domain_scores_codex":[0.9995812,0.00006131997,0.00002435001,0.0001116659,0.0001589435,0.00006263886],"domain_scores_gemma":[0.9997399,0.00003186274,0.0001146989,0.00002613574,0.00005844079,0.00002894878],"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":[0.00006986734,0.00002350072,0.0005086121,0.00009130374,0.000006817128,0.00005459107,0.00001679614,0.0002858543,0.9946588,0.0001413191,0.00005816201,0.004084442],"study_design_scores_gemma":[0.000005761357,0.0004670881,0.001946352,0.00001313829,0.00001506439,0.0001330335,0.000045549,0.0006449996,0.9932436,0.00004803194,0.003429922,0.000007361738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856181,0.001004686,0.0100438,0.00008454994,0.00002763447,0.00006222643,0.000377484,0.0002829564,0.002498619],"genre_scores_gemma":[0.9866145,0.0009017573,0.008735399,0.00007092924,0.00001099212,0.00003793644,0.0005175562,0.00005464546,0.003056437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001375771,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005046893961280646,"score_gpt":0.1519242453085773,"score_spread":0.1468773513472967,"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."}}