{"id":"W7016915650","doi":"","title":"Air Quality and Urban Prosperity: An Analysis of Municipal Composting and Urban Agriculture as Air Pollution Reduction and Mitigation Policies for Winnipeg","year":2024,"lang":"en","type":"report","venue":"WinnSpace (University of Winnipeg)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Air pollution; Air quality index; Urban agriculture; Urban waste; Agriculture; Air pollutant concentrations; Urban area; Reduction (mathematics)","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":[0.0006033421,0.0006540724,0.0003338512,0.001113545,0.0009920738,0.00205921,0.0009949626,0.0006333233,0.00298859],"category_scores_gemma":[0.001228755,0.0005551301,0.0008240925,0.00228679,0.0003607793,0.0004275905,0.001334,0.0004864063,0.000259357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02330595,"about_ca_system_score_gemma":0.05470954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855709,"about_ca_topic_score_gemma":0.993515,"domain_scores_codex":[0.9993253,0.0000957681,0.00002124652,0.00003493395,0.0002085774,0.0003142839],"domain_scores_gemma":[0.9995617,0.00002955296,0.0000477196,0.00001063627,0.0001825235,0.0001678615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004435358,0.0007887892,0.555575,0.004792096,0.002120447,0.004596266,0.00701727,0.02664441,0.009482394,0.04740515,0.2281707,0.1089722],"study_design_scores_gemma":[0.0003104598,0.0003233441,0.80177,0.0003826854,0.0005306453,0.0002301175,0.01073344,0.004550554,0.003262846,0.0008738621,0.1769438,0.00008827546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8452384,0.01178778,0.00110149,0.01139499,0.0003067134,0.001473623,0.08199858,0.00007418961,0.04662417],"genre_scores_gemma":[0.8437973,0.01247997,0.003919526,0.00170994,0.00004967727,0.0008966335,0.01727065,0.00008806006,0.1197883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02330595,"threshold_uncertainty_score":0.1690973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109581121842808,"score_gpt":0.2941868614849931,"score_spread":0.263091050266565,"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."}}