{"id":"W4248408915","doi":"10.32920/ryerson.14657385","title":"Life Cycle Assessment of Municipal Solid Wastes: Development of Wasted Software","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":"Life-cycle assessment; Process (computing); Municipal solid waste; Solid waste management; Environmental impact assessment; Software; Waste management; Environmental science; Engineering; Computer science; Environmental resource management; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003136587,0.001057014,0.0006696357,0.002715772,0.0004281348,0.001808667,0.001568956,0.0006557241,0.003355489],"category_scores_gemma":[0.008035148,0.0009465822,0.001140427,0.001379091,0.0004302652,0.001822421,0.001286543,0.0009725647,0.00106505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344084,"about_ca_system_score_gemma":0.001740711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821531,"about_ca_topic_score_gemma":0.002314222,"domain_scores_codex":[0.9984371,0.0005681833,0.0001363076,0.0001384105,0.0006577371,0.00006227143],"domain_scores_gemma":[0.996416,0.001566311,0.000195629,0.0005556784,0.001186215,0.00008028798],"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":[0.0001266451,0.0002016652,0.003983426,0.0005211094,0.000125886,0.0002477505,0.0004929462,0.5250803,0.01140319,0.03110078,0.003505577,0.4232107],"study_design_scores_gemma":[0.00002971459,0.00006860185,0.0005786176,0.000142448,0.00003647324,0.00007661019,0.00004411159,0.9580397,0.01408089,0.01046477,0.01640727,0.00003081424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02770959,0.0004451672,0.9563171,0.0001541104,0.00003299306,0.0002443974,0.0007193785,0.009312881,0.005064466],"genre_scores_gemma":[0.1657347,0.001116221,0.8239494,0.00006639118,0.00001713865,0.0008071873,0.00291659,0.002097944,0.003294441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003355489,"threshold_uncertainty_score":0.01658809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816985952936395,"score_gpt":0.3014347184814616,"score_spread":0.2732648589520977,"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."}}