{"id":"W4383263135","doi":"10.1002/bbb.2530","title":"The development of a framework for the selection of optimal sites for the location of municipal solid waste to value‐added facilities through the integration of a geographical information system and a fuzzy analytic hierarchy process","year":2023,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Cenovus Energy","keywords":"Site selection; Geographic information system; Analytic hierarchy process; Adaptability; Municipal solid waste; Flexibility (engineering); Facility location problem; Operations research; Transport engineering; Geography; Engineering; Cartography; Waste management; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001384841,0.0001166369,0.0001723693,0.00006549223,0.0004456745,0.00004031239,0.0002379545,0.00005009916,0.000001164045],"category_scores_gemma":[0.0003680137,0.00005235978,0.0000392982,0.0009526391,0.0003980598,0.000141257,0.0001823024,0.00006748276,3.528837e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002478435,"about_ca_system_score_gemma":0.00002318697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002339232,"about_ca_topic_score_gemma":0.0001150686,"domain_scores_codex":[0.9988041,0.00004252606,0.0005283983,0.000165058,0.0002811309,0.0001787664],"domain_scores_gemma":[0.9988518,0.0004046679,0.0003576218,0.0002414603,0.0001262733,0.00001821491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002416138,0.000194788,0.007327599,0.007540265,0.001026683,8.984843e-8,0.4320512,0.2352719,0.03396665,0.07318179,0.0001366277,0.2068863],"study_design_scores_gemma":[0.0008127607,0.001068226,0.02208381,0.0008283989,0.0003327891,0.000003035276,0.306179,0.5566401,0.1073284,0.002799278,0.001567255,0.0003569038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859648,0.0002133131,0.01162258,0.0008099466,0.00005274236,0.001276075,0.00002609495,0.00001094417,0.00002351926],"genre_scores_gemma":[0.9953797,0.000055928,0.004310197,0.00001712992,0.00002112173,0.0001808802,0.000009670919,0.000005362316,0.00001996421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3213682,"threshold_uncertainty_score":0.3427813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03769936463029779,"score_gpt":0.2909196162880797,"score_spread":0.2532202516577819,"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."}}