{"id":"W2752585051","doi":"10.1016/j.scitotenv.2017.08.169","title":"Optimal siting of solid waste-to-value-added facilities through a GIS-based assessment","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Analytic hierarchy process; Municipal solid waste; Geographic information system; Environmental planning; Facility location problem; Solid waste management; Environmental resource management; Environmental science; Waste management; Business; Geography; Engineering; Operations research; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00179526,0.0002443254,0.0002850546,0.00003356436,0.001411209,0.00008090842,0.003503572,0.00003527607,0.0007936895],"category_scores_gemma":[0.00012672,0.0001494181,0.0001703955,0.0001737336,0.004771934,0.0003849654,0.004689021,0.0001772095,0.0001039886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331637,"about_ca_system_score_gemma":0.00004335246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068497,"about_ca_topic_score_gemma":0.000005431401,"domain_scores_codex":[0.996505,0.0001205384,0.0004600047,0.0005051133,0.001810908,0.0005984297],"domain_scores_gemma":[0.9967365,0.00006762737,0.0005609611,0.002510153,0.000007473313,0.0001173037],"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":[0.00001864586,0.000104241,0.0001169761,0.00001376229,0.00001291746,6.622376e-7,0.00110946,0.962908,0.03460737,0.0006516337,0.00008011219,0.0003761754],"study_design_scores_gemma":[0.001149466,0.0006537238,0.07149889,0.0001836045,0.000132243,0.000005217604,0.006533895,0.5939088,0.3230905,0.001278382,0.0008383164,0.0007269806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764561,0.00001019742,0.0009614595,0.002169854,0.0001960317,0.0007667763,0.00003577176,0.00001011772,0.0193937],"genre_scores_gemma":[0.9928848,0.000005495623,0.004636598,0.00006860332,0.0000236904,0.00003981876,4.827254e-7,0.00001405024,0.002326521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3689992,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419875135778596,"score_gpt":0.2799325321741367,"score_spread":0.2557337808163507,"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."}}