{"id":"W2978456798","doi":"10.1016/j.scitotenv.2019.134440","title":"Co-digestion of by-products and agricultural residues: A bioeconomy perspective for a Mediterranean feedstock mixture","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Università di Catania; Ministry of Agriculture - Saskatchewan","keywords":"Anaerobic digestion; Biogas; Raw material; Pulp and paper industry; Biofuel; Bioenergy; Environmental science; Pomace; Methane; Mediterranean climate; Manure; Poultry litter; Straw; Waste management; Agronomy; Chemistry; Food science; Nutrient; Biology; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002480423,0.00007402566,0.00008173518,0.00002228556,0.00007506878,0.00000983777,0.0001722719,0.00002224766,0.00001619012],"category_scores_gemma":[0.00002080457,0.00003863391,0.00002918726,0.00009007631,0.0004717872,0.0001200888,0.00003219601,0.00005204789,0.000005322361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008520206,"about_ca_system_score_gemma":0.000009516161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001527792,"about_ca_topic_score_gemma":2.228975e-7,"domain_scores_codex":[0.9994647,0.00001095152,0.0001030057,0.000154454,0.0001595155,0.0001073866],"domain_scores_gemma":[0.9996898,0.00001294423,0.00005900909,0.000198301,0.00001766236,0.00002224749],"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":[0.00001826713,0.00002567457,0.00002044924,0.00001920595,0.00001722216,1.18623e-8,0.001510066,0.01288582,0.9807198,0.003358137,0.001086377,0.0003389914],"study_design_scores_gemma":[0.000390606,0.0002569114,0.03057367,0.00004293943,0.00003695623,0.00001579459,0.003186344,0.001003908,0.9627782,0.0004471692,0.001094222,0.0001732975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962541,0.0002194268,0.00002593722,0.001985797,0.0002210288,0.0004747656,0.00001361952,0.00001222053,0.0007931145],"genre_scores_gemma":[0.9988352,0.00003363319,0.0001426968,0.000004442296,0.00003745846,0.000008120578,0.000001916742,0.000003905898,0.0009326069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03055322,"threshold_uncertainty_score":0.173832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006585852331154217,"score_gpt":0.1934183104173229,"score_spread":0.1868324580861687,"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."}}