{"id":"W4412927785","doi":"10.1007/s41660-025-00557-0","title":"A Robust Optimization Model for Semi-desirable Facilities Location with the Consideration of Greenhouse Gas Emissions","year":2025,"lang":"en","type":"article","venue":"Process Integration and Optimization for Sustainability","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Alberta","funders":"","keywords":"Greenhouse gas; Environmental science; Waste management; Environmental engineering; Engineering; Geology","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":[0.001955072,0.001338942,0.00236291,0.000610549,0.0005682917,0.002515591,0.001887549,0.002622865,0.00397334],"category_scores_gemma":[0.003057673,0.001203836,0.001399565,0.0009913921,0.001341586,0.001504605,0.001620736,0.002054105,0.0005033075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961455,"about_ca_system_score_gemma":0.002691185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183824,"about_ca_topic_score_gemma":0.008286291,"domain_scores_codex":[0.9990711,0.000314156,0.00003398253,0.0002435679,0.00018634,0.0001507924],"domain_scores_gemma":[0.9984321,0.0009527385,0.0002421877,0.00005345648,0.0002408194,0.00007868985],"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":[0.0000175396,0.00001049416,0.0000418887,0.00001927708,0.00001053231,0.00002185467,0.000009570316,0.9947254,0.000258552,0.003920912,0.0001234279,0.0008405899],"study_design_scores_gemma":[0.000004746271,0.00001063266,0.00002870421,0.000001873309,0.000004096993,0.000002243015,0.000003047037,0.9990267,0.00006840842,0.0007525131,0.00009383346,0.000003304822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02346697,0.0003106978,0.9663214,0.0004222855,0.00006200022,0.00006326311,0.0002516986,0.0002342702,0.008867449],"genre_scores_gemma":[0.9419766,0.0003405623,0.04656689,0.00009832441,0.0000391794,0.0002663899,0.0003085372,0.0001083506,0.01029513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0183824,"threshold_uncertainty_score":0.03655082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762969644653943,"score_gpt":0.2602974953674205,"score_spread":0.232667798920881,"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."}}