{"id":"W4411205612","doi":"10.1007/978-3-031-94802-2_22","title":"Optimizing Coffee Waste Collection: A Discrete Event Simulation Model Based on Consumption Patterns","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Discrete event simulation; Event (particle physics); Consumption (sociology); Computer science; Environmental science; Simulation; Art; Physics","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":[0.0006103564,0.000861854,0.001428761,0.0005325896,0.0006442435,0.001952125,0.0021762,0.002094985,0.005163732],"category_scores_gemma":[0.001940117,0.0009997007,0.001331651,0.00109827,0.0008570158,0.001219884,0.0007720123,0.001116535,0.00046378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758295,"about_ca_system_score_gemma":0.001492046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03743589,"about_ca_topic_score_gemma":0.01855817,"domain_scores_codex":[0.9997131,0.0000893765,0.00001401815,0.00007084289,0.00004555655,0.00006707864],"domain_scores_gemma":[0.9990199,0.000687908,0.0000859671,0.00003901159,0.00009728407,0.00006988596],"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":[0.00002230777,0.00001914627,0.0001465082,0.000006218279,0.000006131631,0.00001275374,0.000006542668,0.9979039,0.0001065542,0.001174521,0.0000679681,0.000527446],"study_design_scores_gemma":[0.000004101911,0.000004342926,0.00003741747,7.678539e-7,0.000002472032,0.000001358752,0.000002492906,0.9995136,0.00004229789,0.0003480684,0.0000411748,0.000001819509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4632223,0.0006756574,0.4835617,0.001328506,0.0002031109,0.0002449241,0.001675321,0.0009490823,0.04813944],"genre_scores_gemma":[0.975556,0.0002752738,0.01470511,0.00006486151,0.00002699285,0.0001346186,0.0003764054,0.00007972032,0.008780987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03743589,"threshold_uncertainty_score":0.07443595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124653142915321,"score_gpt":0.2307847895084194,"score_spread":0.2183194752168873,"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."}}