{"id":"W2806920029","doi":"10.1061/9780784481639.028","title":"The Stability and Settlement of Municipal Waste Landfills","year":2018,"lang":"en","type":"article","venue":"","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Stipulation; Cohesion (chemistry); Settlement (finance); Creep; Geotechnical engineering; Sampling (signal processing); Municipal solid waste; Environmental science; Statically indeterminate; Geology; Forensic engineering; Civil engineering; Engineering; Waste management; Computer science; Law; Materials science","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":[0.0009061081,0.0001754041,0.000236819,0.002416466,0.0005573719,0.0009159187,0.0002785627,0.0003482583,0.001525008],"category_scores_gemma":[0.001599084,0.0001031153,0.0002087077,0.00224432,0.0008557127,0.0004770053,0.0007141498,0.0001396105,0.00032722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006873246,"about_ca_system_score_gemma":0.0002997906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003440927,"about_ca_topic_score_gemma":0.004763311,"domain_scores_codex":[0.9993232,0.0001197943,0.00006682058,0.00008766469,0.0003009234,0.0001015595],"domain_scores_gemma":[0.9993196,0.0001086298,0.000307384,0.00004369043,0.0001790667,0.00004171937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009716632,0.0000518018,0.8214238,0.0003906237,0.00009612972,0.004286361,0.004985326,0.002992782,0.03430419,0.001991749,0.0005353722,0.1279701],"study_design_scores_gemma":[0.000003655896,0.0002819728,0.9690636,0.00005012077,0.00004803695,0.003292957,0.006979932,0.0005478475,0.01236715,0.0008805152,0.006463828,0.0000202384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958076,0.001196609,0.0002861327,0.00005870884,0.000004050716,0.00000641901,0.000127279,0.000006818458,0.002506264],"genre_scores_gemma":[0.9990628,0.0003073599,0.0000700747,0.000003314771,0.000004273887,0.000001668091,0.00008194469,0.00000130518,0.0004672623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003440927,"threshold_uncertainty_score":0.006841779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507908383646511,"score_gpt":0.2390778189860658,"score_spread":0.2239987351496007,"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."}}