{"id":"W4205806766","doi":"10.32920/ryerson.14652540.v1","title":"Composting as wise waste diversion technique","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Waste management; Reuse; Incineration; Compost; Biodegradable waste; USable; Environmental science; Municipal solid waste; Cleaner production; Waste treatment; Green waste; Mobile incinerator; Environmentally friendly; Waste stream; Waste collection; Engineering; Computer science","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003298673,0.0002720827,0.0002532976,0.000044876,0.0001376906,0.0001167806,0.0007589147,0.0001889688,0.01324514],"category_scores_gemma":[0.00003252509,0.0002649757,0.0001296842,0.0001474968,0.0001031789,0.00009481683,0.01719544,0.0004996514,0.0008602226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877525,"about_ca_system_score_gemma":0.00001204639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753505,"about_ca_topic_score_gemma":0.0001600639,"domain_scores_codex":[0.9980989,0.0001013164,0.000265083,0.0006924195,0.0005219472,0.000320368],"domain_scores_gemma":[0.9988128,0.00003056486,0.0001439123,0.0008754346,0.000008468081,0.000128819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003031255,0.0004046324,0.0113577,0.000389048,0.0001219665,0.0005124601,0.00158038,0.9435641,0.009252207,0.0004190907,0.02070086,0.01166731],"study_design_scores_gemma":[0.002560759,0.000662779,0.009419237,0.004543331,0.0008296411,0.0001732566,0.02417073,0.6460332,0.156952,0.009336662,0.1359147,0.00940362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3591505,0.00004352576,0.01161688,0.0005370285,0.0004229847,0.001281915,0.000004549454,0.0001939465,0.6267486],"genre_scores_gemma":[0.975427,0.00005247945,0.01632271,0.0005084829,0.00004947019,0.00008402424,0.00005709564,0.00002959937,0.007469123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6192795,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665127401707545,"score_gpt":0.2466512364564783,"score_spread":0.2299999624394029,"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."}}