{"id":"W2535211017","doi":"10.1016/j.wasman.2016.10.010","title":"Synergism of co-digestion of food wastes with municipal wastewater treatment biosolids","year":2016,"lang":"en","type":"article","venue":"Waste Management","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Biosolids; Waste management; Wastewater; Food waste; Digestion (alchemy); Sewage treatment; Environmental science; Anaerobic digestion; Waste treatment; Chemistry; Aerobic digestion; Pulp and paper industry; Environmental chemistry; Environmental engineering; Activated sludge; Methane; Engineering","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":[0.00006798577,0.0001535046,0.0001818318,0.0001508954,0.00001958297,0.000006197638,0.00009013829,0.00003662768,0.00004712867],"category_scores_gemma":[0.000001407765,0.00008948361,0.00004894213,0.0001162551,0.00006675319,0.00008763688,0.00002443648,0.00001996697,0.0000148803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007063727,"about_ca_system_score_gemma":0.00000327616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008999493,"about_ca_topic_score_gemma":0.000008366285,"domain_scores_codex":[0.9992477,0.00001648434,0.0002415501,0.0001611563,0.0001618999,0.0001711614],"domain_scores_gemma":[0.999564,0.000008785413,0.00006178646,0.0003001796,0.00002629618,0.0000389576],"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":[0.000967307,0.002202949,0.001555284,0.001227899,0.004311691,0.00003964746,0.003182442,0.07528724,0.4025858,0.2426912,0.003229559,0.262719],"study_design_scores_gemma":[0.003427885,0.002662561,0.0004916878,0.0004247125,0.0001776346,0.000005344078,0.001095045,0.0005172086,0.9698124,0.0001175609,0.02096446,0.0003035257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921062,0.00007760096,0.001030641,0.0001673553,0.0001538531,0.0002844941,0.00001835053,0.0001011835,0.006060311],"genre_scores_gemma":[0.9975483,0.0002671969,0.0005332923,0.00000351125,0.00003989914,0.00002537151,0.00001202482,0.0000205727,0.001549858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5672266,"threshold_uncertainty_score":0.3649036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010926893550718,"score_gpt":0.2011004882279698,"score_spread":0.1901735946772518,"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."}}