{"id":"W2557721036","doi":"10.3846/16486897.2016.1210155","title":"GEOTECHNICAL CHARACTERISTICS OF EFFLUENT CONTAMINATED COHESIVE SOILS","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Landscape Management","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Leachate; Effluent; Atterberg limits; Soil water; Contamination; Environmental science; Consolidation (business); Geotechnical engineering; Environmental engineering; Water content; Waste management; Geology; Soil science; Engineering","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":[0.0001395345,0.0002324525,0.0001393101,0.0009935881,0.0002787139,0.0004017096,0.0001016058,0.0002306762,0.0006457003],"category_scores_gemma":[0.0002654823,0.0001138599,0.0001097151,0.0006796475,0.0002609991,0.0001612528,0.0002448645,0.0001131752,0.0001564834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532122,"about_ca_system_score_gemma":0.0001635243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103129,"about_ca_topic_score_gemma":0.003617519,"domain_scores_codex":[0.99986,0.00001689084,0.00001750152,0.00002201692,0.00005636373,0.00002707456],"domain_scores_gemma":[0.9997054,0.0000474736,0.0001155791,0.00001015752,0.00008780366,0.00003353706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000375814,0.0002263437,0.5735411,0.00014326,0.00003958302,0.0009744136,0.001070814,0.001522908,0.4097044,0.0001220167,0.00008243441,0.01219676],"study_design_scores_gemma":[0.000008571542,0.001089559,0.9286101,0.00001296294,0.00002803479,0.000927661,0.002176852,0.0007593191,0.06542609,0.0001260373,0.0008165158,0.0000181596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994667,0.00002134218,0.0001192528,0.00000213819,4.504678e-7,0.00000462238,0.00006687472,0.000001765384,0.0003168423],"genre_scores_gemma":[0.9994986,0.00005468731,0.00009381174,0.00000322714,7.129019e-7,0.000003509069,0.000113872,6.881464e-7,0.0002308902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002103129,"threshold_uncertainty_score":0.004181802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002708982852769155,"score_gpt":0.1646247166435471,"score_spread":0.1619157337907779,"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."}}