{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002688302,0.0001648582,0.0002398103,0.0001132085,0.00003609835,0.000007926059,0.0002481132,0.0001271145,0.0003918266],"category_scores_gemma":[0.00001686313,0.0001419114,0.00008313899,0.0002431519,0.00004860121,0.0003720393,0.0001578529,0.0001091521,0.00003053917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000808168,"about_ca_system_score_gemma":0.00002345307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000935432,"about_ca_topic_score_gemma":0.000003658461,"domain_scores_codex":[0.9992498,0.00001895742,0.0001375618,0.0001683694,0.0001354033,0.0002899678],"domain_scores_gemma":[0.9994688,0.00008134523,0.0000371398,0.0002507116,0.00001858206,0.0001434151],"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":[0.0008689311,0.001299757,0.02280414,0.002701418,0.002298252,0.001858257,0.001270366,0.1631238,0.5911955,0.06379318,0.07898986,0.06979651],"study_design_scores_gemma":[0.00322417,0.0004282411,0.002495682,0.0009801973,0.0002136263,0.000004442832,0.0005810282,0.003721123,0.5683138,0.001140426,0.4171708,0.001726499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5608298,0.00003908907,0.4284768,0.007158556,0.0004340251,0.0003050333,0.00006964774,0.001098555,0.001588548],"genre_scores_gemma":[0.9933012,0.0001543983,0.002114019,0.00001657018,0.00002064076,1.933847e-7,0.000001760149,0.00003443817,0.004356836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4324714,"threshold_uncertainty_score":0.5786977,"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."}}