{"id":"W1981152957","doi":"10.1016/j.scitotenv.2006.04.014","title":"Municipal solid waste characterization and its assessment for potential methane generation: A case study","year":2006,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":290,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Methane; Municipal solid waste; Landfill gas; Environmental science; Biodegradable waste; Waste management; Environmental engineering; Greenhouse gas; Engineering; Chemistry","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":[0.0008750164,0.0001901205,0.0001773204,0.00002551071,0.000872189,0.0000465061,0.0003805241,0.00002713786,0.0001510432],"category_scores_gemma":[0.00001290758,0.0001077095,0.00006647093,0.0001632185,0.001016065,0.0003335562,0.001133874,0.00008674245,0.00001284917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566784,"about_ca_system_score_gemma":0.00001047986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004233631,"about_ca_topic_score_gemma":0.000009338716,"domain_scores_codex":[0.9981326,0.0001004045,0.0003095587,0.0003919126,0.0007271189,0.0003383894],"domain_scores_gemma":[0.9992203,0.00003001459,0.0002178498,0.0004621201,0.000004006429,0.00006574317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001276484,0.0003125338,0.0004045942,0.000003165115,0.00001790962,0.000008945783,0.001012384,0.09038485,0.90739,0.00001843793,0.00001498841,0.0004194517],"study_design_scores_gemma":[0.002629041,0.001075576,0.194732,0.00001473355,0.0004160159,0.001061635,0.003702356,0.3060649,0.489342,0.000213123,0.00006513065,0.000683526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973788,0.00002965618,0.0003263894,0.0005041204,0.0001741059,0.001337991,0.00002764435,0.000008273457,0.0002130152],"genre_scores_gemma":[0.9984641,0.00001831395,0.0002707932,0.00002357863,0.00008309497,0.0001046639,0.0000037604,0.00001316891,0.001018535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.418048,"threshold_uncertainty_score":0.6708261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859574713347408,"score_gpt":0.2657906409076169,"score_spread":0.2471948937741428,"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."}}