{"id":"W4401628887","doi":"10.22215/etd/2024-16090","title":"Analysis and Modelling of Settlement and Temperature Data from an Operational Landfill in Ste. Sophie, Québec, Canada","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Settlement (finance); Municipal solid waste; Multiphysics; Environmental science; Geotechnical engineering; Pore water pressure; Biodegradation; Heat transfer; Waste management; Creep; Environmental engineering; Engineering; Materials science; Chemistry; Structural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003629776,0.0008154006,0.000519864,0.0008059082,0.001187336,0.0008379467,0.0009185349,0.000627507,0.001606478],"category_scores_gemma":[0.0005913058,0.0003412021,0.0006438301,0.001673908,0.0004515133,0.0002904016,0.0003158085,0.0004567319,0.0004081554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00835212,"about_ca_system_score_gemma":0.006322131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9628621,"about_ca_topic_score_gemma":0.9691682,"domain_scores_codex":[0.9997377,0.00001443991,0.00001192491,0.00006630662,0.00009115936,0.00007852644],"domain_scores_gemma":[0.9996223,0.00005832513,0.00002632683,0.00002046257,0.0002381115,0.00003444955],"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":[0.0004394355,0.0004975408,0.1796923,0.0002405553,0.0001172528,0.00084735,0.0006309738,0.7479697,0.02051028,0.0005740586,0.005800992,0.04267964],"study_design_scores_gemma":[0.00004389511,0.00007016044,0.1706522,0.00002185587,0.00002516714,0.00003627867,0.0006761596,0.8229966,0.003317568,0.00008471256,0.002015443,0.00006010149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884316,0.00009363484,0.002903566,0.00009885294,0.00001147588,0.00007526506,0.004852989,0.0002757675,0.003256993],"genre_scores_gemma":[0.9925392,0.00006826553,0.00218344,0.00001617487,0.000002018435,0.00004725374,0.003303339,0.00002786458,0.001812391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03713787,"threshold_uncertainty_score":0.07471311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765992948383783,"score_gpt":0.2491893092034159,"score_spread":0.2315293797195781,"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."}}