{"id":"W2898746671","doi":"10.2174/2212717805666181031122517","title":"Resource Mining for a Bioreactor Landfill","year":2018,"lang":"en","type":"article","venue":"Current Environmental Engineering","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bioreactor landfill; Landfill gas; Waste management; Resource recovery; Municipal solid waste; Compost; Biodegradation; Environmental science; Methane; Bioreactor; Settlement (finance); Biogas; Wastewater; Engineering; Chemistry","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":[0.0005943992,0.0005176939,0.0002325478,0.0006751025,0.0008689972,0.0007024572,0.000650783,0.0005916833,0.003699114],"category_scores_gemma":[0.0002553987,0.0001374448,0.0006101363,0.0004439898,0.0002286815,0.0006604103,0.0005896802,0.0004445645,0.001463439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313684,"about_ca_system_score_gemma":0.003210833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237014,"about_ca_topic_score_gemma":0.008202886,"domain_scores_codex":[0.9996417,0.00004509808,0.00002609293,0.00004695473,0.0001768442,0.00006337683],"domain_scores_gemma":[0.9998279,0.00001681518,0.00003759723,0.00002160733,0.0000703441,0.00002579344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003929532,0.001424201,0.0108178,0.001475082,0.00003801812,0.001227885,0.0002473633,0.03302058,0.4838792,0.007227739,0.00890761,0.4513415],"study_design_scores_gemma":[0.0002220957,0.005964093,0.023324,0.0005472433,0.0001438164,0.002230176,0.001070956,0.06550947,0.700561,0.01106765,0.1892688,0.00009079715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5261693,0.002702688,0.3900918,0.005714831,0.0001900019,0.003672461,0.001293525,0.002545742,0.06761972],"genre_scores_gemma":[0.61489,0.001933671,0.3593056,0.0005360662,0.00003916761,0.0008370038,0.001095103,0.00008586821,0.02127759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003699114,"threshold_uncertainty_score":0.01237482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308600256300739,"score_gpt":0.2231698440928293,"score_spread":0.210083841529822,"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."}}