{"id":"W2556470877","doi":"","title":"LONG-TERM PERFORMANCE OF HDPE GEOMEMBRANES AS LANDFILL LINERS","year":2009,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment","keywords":"Geomembrane; High-density polyethylene; Term (time); Waste management; Environmental science; Engineering; Geotechnical engineering; Materials science; Polyethylene; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002319181,0.0003301531,0.0003900779,0.0003641193,0.00005928498,0.00002594059,0.0003477698,0.0004630817,0.0001388653],"category_scores_gemma":[0.00001376184,0.0003876018,0.0001473439,0.0004820312,0.00002725851,0.0005463036,0.00002721952,0.0004065226,0.00003265615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005826124,"about_ca_system_score_gemma":0.00006751114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002146728,"about_ca_topic_score_gemma":0.0000280126,"domain_scores_codex":[0.9990208,0.00001837481,0.0001937044,0.0002617327,0.0002255015,0.0002799509],"domain_scores_gemma":[0.9993851,0.00003549911,0.00008637766,0.0003176991,0.00004679176,0.0001285677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005641897,0.0002379546,0.008075682,0.006631453,0.0004013008,0.000199485,0.001073835,0.9464958,0.0003249192,0.001266462,0.02347257,0.01125632],"study_design_scores_gemma":[0.005112797,0.002289382,0.7276391,0.006630265,0.001268742,0.000006967659,0.002269801,0.02434485,0.103301,0.0002526203,0.1189038,0.007980727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800897,0.0000834647,0.00007776411,0.0003802146,0.0003135903,0.0002064324,0.00002050936,0.0009876991,0.01784061],"genre_scores_gemma":[0.9364144,0.002332521,0.0001222411,0.000008573874,0.00005944713,8.536688e-7,0.001228961,0.00007416763,0.05975883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.922151,"threshold_uncertainty_score":0.9998576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003077158585078671,"score_gpt":0.1647044806534074,"score_spread":0.1616273220683287,"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."}}