{"id":"W3016144053","doi":"10.3390/su12083086","title":"Solid Waste Characterization and Recycling Potential for a University Campus in China","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Henan Agricultural University","keywords":"China; Municipal solid waste; Per capita; Food waste; University campus; Waste management; Solid waste management; Agriculture; Agricultural economics; Business; Environmental science; Engineering; Geography; Civil engineering; Environmental health; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004376987,0.000185476,0.0001393905,0.001194626,0.001174529,0.0005143652,0.000270653,0.0003162819,0.001036766],"category_scores_gemma":[0.0003554059,0.0000856315,0.0002250157,0.00169392,0.0003525662,0.0003978082,0.000502072,0.0001402141,0.0001336145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536636,"about_ca_system_score_gemma":0.001993134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03207314,"about_ca_topic_score_gemma":0.06063117,"domain_scores_codex":[0.9998022,0.00003369214,0.00001684648,0.00003023625,0.00005371311,0.00006332356],"domain_scores_gemma":[0.999661,0.0000587932,0.00008409506,0.00001730912,0.00008988049,0.00008896374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002849275,0.0002486398,0.8946452,0.0001671739,0.00003144144,0.001465046,0.009421336,0.002802479,0.04149494,0.0005081582,0.000341424,0.04858931],"study_design_scores_gemma":[0.000005354674,0.0004434239,0.9593128,0.00001695414,0.00002463563,0.0003038794,0.02105193,0.002715152,0.01423682,0.0001754783,0.001682388,0.00003122712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99958,0.00001929064,0.00005948743,0.00001813143,2.863718e-7,0.000004360072,0.00003453744,0.000001480596,0.0002825696],"genre_scores_gemma":[0.9989246,0.00006013565,0.0002157874,0.0000105222,0.000001036373,0.000005936596,0.00009137118,8.113154e-7,0.0006897855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03207314,"threshold_uncertainty_score":0.06377292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0075632953708627,"score_gpt":0.2240992592671664,"score_spread":0.2165359638963037,"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."}}