{"id":"W2132364492","doi":"10.1139/s07-033","title":"GIS-based locational analysis of collection bins in municipal solid waste management systems","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Municipal solid waste; Site selection; Solid waste management; Geographic information system; Bin; Computer science; Operations research; Waste collection; Waste management; Environmental science; Environmental economics; Engineering; Algorithm; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003413489,0.0004192583,0.0003631804,0.001826605,0.000424754,0.0009663026,0.0005024416,0.0003600176,0.001844826],"category_scores_gemma":[0.001445288,0.0003113606,0.0004861841,0.002019492,0.0004471811,0.0006895337,0.0004697136,0.000195863,0.0002597336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529599,"about_ca_system_score_gemma":0.0009700074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04447776,"about_ca_topic_score_gemma":0.02997201,"domain_scores_codex":[0.9997347,0.00009013958,0.00001801345,0.00003575408,0.00008870242,0.00003268752],"domain_scores_gemma":[0.9995859,0.0001968927,0.00005346123,0.00002916669,0.0001121142,0.00002243848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001030722,0.00003926318,0.01178994,0.00005304482,0.00002570509,0.0001282928,0.0001051801,0.9571636,0.002228967,0.00399231,0.0004251916,0.02394545],"study_design_scores_gemma":[0.00000493114,0.00001676931,0.003897807,0.000004565246,0.000008478275,0.00002445021,0.0001437746,0.9926211,0.001514167,0.001189773,0.0005661536,0.000008109593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748346,0.0002282667,0.2401152,0.0002358642,0.00002572709,0.0001600891,0.001706623,0.00203071,0.007151456],"genre_scores_gemma":[0.9500598,0.00009866807,0.04828833,0.000006634075,0.000004522869,0.0000444338,0.0005903531,0.00003339288,0.0008739202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04447776,"threshold_uncertainty_score":0.08843774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009078007582857508,"score_gpt":0.2060061798507717,"score_spread":0.1969281722679142,"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."}}