{"id":"W1981505181","doi":"10.1177/0734242x07073652","title":"Assessment of two thermally treated drill mud wastes for landfill containment applications","year":2007,"lang":"en","type":"article","venue":"Waste Management & Research The Journal for a Sustainable Circular Economy","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Waste management; Drill; Environmental science; Clay minerals; Hydraulic conductivity; Environmental remediation; Drilling; Leaching (pedology); Drilling fluid; Contamination; Geology; Materials science; Mineralogy; Metallurgy; Soil science; Soil water; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00642818,0.0002048662,0.0002764918,0.0004886842,0.0005232616,0.0001689996,0.0005309999,0.00005066793,0.00001679663],"category_scores_gemma":[0.00002335781,0.0001676921,0.0001904804,0.0003377903,0.00006455516,0.0002093835,0.0001020728,0.0003117376,0.000002381621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006641324,"about_ca_system_score_gemma":0.00004576363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001856322,"about_ca_topic_score_gemma":0.000003495158,"domain_scores_codex":[0.9979067,0.00006142628,0.0005361428,0.000193726,0.0002802073,0.001021803],"domain_scores_gemma":[0.9983883,0.000434239,0.00009603659,0.000425694,0.0004938517,0.0001618603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006296605,0.0001128604,0.0003375781,0.002875612,0.001078183,0.00003103686,0.000237342,0.9013329,0.0008839094,0.08461544,0.001600087,0.006832086],"study_design_scores_gemma":[0.004339015,0.000404343,0.0002788866,0.0001550714,0.0002642536,0.00003238218,0.023523,0.4364913,0.004574566,0.01971555,0.5097001,0.0005215299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02171541,0.0009254792,0.9362106,0.000119434,0.00009274422,0.00405411,0.00001011763,0.00008073118,0.03679139],"genre_scores_gemma":[0.9935832,0.0002552612,0.001928284,0.00001975621,0.0002453104,0.0006941294,0.00002083467,0.00007754973,0.003175663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9718678,"threshold_uncertainty_score":0.6838284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864097416501867,"score_gpt":0.3135069329018096,"score_spread":0.2948659587367909,"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."}}