{"id":"W1986018575","doi":"10.1021/es2016268","title":"Electricity Production from Anaerobic Digestion of Household Organic Waste in Ontario: Techno-Economic and GHG Emission Analyses","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Genome Canada","keywords":"Greenhouse gas; Electricity; Anaerobic digestion; Renewable energy; Environmental science; Electricity generation; Waste management; Landfill gas; Life-cycle assessment; Biodegradable waste; Photovoltaic system; Fossil fuel; Natural resource economics; Business; Production (economics); Environmental engineering; Municipal solid waste; Engineering; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003362442,0.0001994208,0.000234242,0.0004909071,0.0001592949,0.00001190196,0.0006303482,0.0001399599,0.0009618294],"category_scores_gemma":[0.00002626549,0.0001923645,0.00002719219,0.0009112547,0.001723684,0.0004457954,0.0009758003,0.0002795082,0.00004560121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764819,"about_ca_system_score_gemma":0.00002230972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04891753,"about_ca_topic_score_gemma":0.0238826,"domain_scores_codex":[0.998101,0.0000252141,0.0003565997,0.0007986941,0.0002924184,0.0004260792],"domain_scores_gemma":[0.9991301,0.000008529373,0.0002060374,0.0005718669,0.000001165078,0.00008227953],"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":[0.00001568894,0.0001372916,0.3809933,0.000001140658,0.000004431241,0.000003165438,0.000310449,0.002055673,0.6138411,0.0000313374,0.000006054637,0.002600411],"study_design_scores_gemma":[0.0002186106,0.0001760074,0.4325993,0.00001524817,0.0000192694,0.000006899253,0.0005981541,0.001236326,0.5636872,0.001134085,0.0001006001,0.0002082528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985521,0.00004811593,0.00009339782,0.00007058811,0.00007682502,0.0003462445,0.000002980021,0.00005707739,0.0007526586],"genre_scores_gemma":[0.9986361,0.00007120195,0.001088996,0.00001408626,0.000005706642,0.00002084455,0.000003261766,0.00001317975,0.0001466582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05160604,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192894678817653,"score_gpt":0.2169635277541705,"score_spread":0.1950345809659939,"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."}}