{"id":"W2598964026","doi":"10.1080/09593330.2017.1313317","title":"Potential methane emission reductions for two manure treatment technologies","year":2017,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Guelph; Wilfrid Laurier University; Agriculture and Agri-Food Canada","funders":"Office of Energy Research and Development; Agriculture and Agri-Food Canada","keywords":"Methane; Manure; Environmental science; Waste management; Methane emissions; Environmental engineering; Biogas; Environmental chemistry; Chemistry; Engineering; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001645619,0.0007103606,0.0007276062,0.000724631,0.00104833,0.001194402,0.0009270519,0.00183778,0.005489236],"category_scores_gemma":[0.002200479,0.0001744979,0.001201595,0.0009272732,0.0003667739,0.002086026,0.0004569064,0.0008065192,0.0005185365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761572,"about_ca_system_score_gemma":0.001436489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339336,"about_ca_topic_score_gemma":0.01401645,"domain_scores_codex":[0.998969,0.0002424229,0.00006783073,0.0001272307,0.00037161,0.0002218601],"domain_scores_gemma":[0.9987761,0.0005886318,0.0001411114,0.00008908749,0.0003500012,0.00005497301],"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":[0.004445976,0.001348249,0.01837842,0.002584417,0.0002509765,0.0003809652,0.0001115329,0.02069901,0.7590861,0.002269308,0.001899855,0.1885451],"study_design_scores_gemma":[0.0002166011,0.009410693,0.05021097,0.000183278,0.0003646344,0.0003012375,0.0007391607,0.01344057,0.9039773,0.00265483,0.0183837,0.0001168634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277233,0.005126013,0.04073814,0.002485242,0.000441578,0.0008053529,0.00254839,0.0003514609,0.01978046],"genre_scores_gemma":[0.9648479,0.002072705,0.02476237,0.0004735692,0.00003282216,0.0005766171,0.0008497951,0.00005735351,0.006326823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005489236,"threshold_uncertainty_score":0.0183633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008460269082150713,"score_gpt":0.2364976088697597,"score_spread":0.228037339787609,"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."}}