{"id":"W3089157062","doi":"10.11575/prism/38232","title":"Waste Collection Technologies, Informal Waste Pickers, and Urban Exclusion: A Case Study of Calgary","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Household waste; Waste collection; Urban waste; Environmental planning; Business; Geography; Engineering; Waste management; Municipal solid waste","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001582778,0.0006846015,0.0008170051,0.001806345,0.03047497,0.004078258,0.00346712,0.002623697,0.00357969],"category_scores_gemma":[0.002381722,0.0006813733,0.0003729911,0.003649569,0.01183119,0.001770547,0.008422526,0.003452782,0.0002805684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02152874,"about_ca_system_score_gemma":0.009622354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4806944,"about_ca_topic_score_gemma":0.7355682,"domain_scores_codex":[0.9974551,0.001015466,0.00005859939,0.0001817915,0.0003042595,0.0009847804],"domain_scores_gemma":[0.9982167,0.0009103851,0.0002657469,0.00008331269,0.0001659106,0.0003579446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000860355,0.0004868285,0.02923309,0.000238395,0.00002193986,0.0198981,0.9278328,0.0003096231,0.000946753,0.004619209,0.00163763,0.01468965],"study_design_scores_gemma":[0.000007715794,0.00007499769,0.01352783,0.0001093643,0.00001144495,0.0004523512,0.9771877,0.0001360824,0.0001751084,0.0002115094,0.008094566,0.00001134875],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936258,0.0003448385,0.0002297036,0.000798623,0.00001199126,0.00008079089,0.0000267066,0.000003351165,0.004878177],"genre_scores_gemma":[0.9922637,0.0009405781,0.0004778736,0.0007282319,0.00001304169,0.00009489668,0.000048288,0.00001149209,0.005421978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5193056,"threshold_uncertainty_score":0.9557929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333592257433649,"score_gpt":0.2754085649645384,"score_spread":0.2520726423902019,"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."}}