{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002252323,0.000276846,0.0003848482,0.00010203,0.0002528366,0.0001059144,0.0006285396,0.0001911115,0.001057583],"category_scores_gemma":[0.00003511213,0.0002642808,0.00003695829,0.0005095506,0.00007665622,0.0002818944,0.002022814,0.0003022835,0.00006824653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227739,"about_ca_system_score_gemma":0.0000292588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004904549,"about_ca_topic_score_gemma":0.01841521,"domain_scores_codex":[0.9983232,0.00005713885,0.0004742876,0.0005198274,0.0003959679,0.0002296017],"domain_scores_gemma":[0.9990776,0.00002140182,0.0003566602,0.0004530123,0.00001110162,0.0000802655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001857537,0.002077434,0.01689877,0.0004869325,0.0006469408,0.006841174,0.2093804,0.004318542,0.0008367218,0.00001888168,0.01273588,0.7439008],"study_design_scores_gemma":[0.003310668,0.002907109,0.001190111,0.0002212354,0.0004759442,0.0002383388,0.9186902,0.02622906,0.003060623,0.00001227752,0.04262957,0.001034842],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939611,0.00005853075,0.000004787085,0.00003272166,0.0001497391,0.00228622,0.000005450683,0.000005851366,0.05784572],"genre_scores_gemma":[0.9843966,0.00003517782,0.0008004468,0.00001169849,0.00001599521,0.000109532,0.0001020405,0.00002600131,0.01450247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7428659,"threshold_uncertainty_score":0.9999809,"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."}}