{"id":"W3173202451","doi":"10.3390/su13126887","title":"Temporal and Spatial Distributions of Waste Facilities and Solid Waste Management Strategies in Rural and Urban Saskatchewan, Canada","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Municipal solid waste; Per capita; Population; Census; Geography; Population density; Land use; Rural area; Environmental science; Waste management; Civil engineering; Engineering; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000517598,0.0002648879,0.0002631666,0.002186658,0.001506451,0.001521698,0.0009929347,0.0002386336,0.00308423],"category_scores_gemma":[0.001538684,0.0002859707,0.0004055844,0.007932262,0.0008424605,0.0004399092,0.001126311,0.0004151616,0.0003419503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02369251,"about_ca_system_score_gemma":0.03053978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903129,"about_ca_topic_score_gemma":0.9969403,"domain_scores_codex":[0.9993187,0.00008620014,0.00004944222,0.0001158451,0.0001685614,0.0002612497],"domain_scores_gemma":[0.9973918,0.0002676944,0.0003968778,0.00008397886,0.001503662,0.0003558459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007577639,0.00003885538,0.9820664,0.00006634721,0.00008270031,0.0001573302,0.001527192,0.001201948,0.0007302977,0.0005447436,0.002126519,0.01138186],"study_design_scores_gemma":[0.000003153832,0.00001208241,0.9894691,0.00003581405,0.00001595325,0.00004182242,0.007395339,0.0008694946,0.0001550515,0.00005282011,0.001931874,0.00001753171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880219,0.0002737818,0.0002784969,0.0001980247,0.000005587566,0.00005404266,0.007391202,0.00001900036,0.003758002],"genre_scores_gemma":[0.991757,0.0004776631,0.0004889593,0.00005254948,0.000001794194,0.00004835594,0.003642068,0.000009631003,0.003521995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02369251,"threshold_uncertainty_score":0.1719021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004329629329413312,"score_gpt":0.2153792585350578,"score_spread":0.2110496292056445,"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."}}