{"id":"W4386293576","doi":"10.24908/ohi.v1i2.16056","title":"Vacuum Attachments on E-Rickshaws to Improve Air Quality","year":2023,"lang":"en","type":"article","venue":"One Health Innovation","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Quality (philosophy); Computer science; Business; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009158576,0.0005535257,0.0005935896,0.0006905895,0.001001129,0.001148112,0.0013343,0.00107854,0.01642525],"category_scores_gemma":[0.002586756,0.0003999675,0.0007713792,0.0005801321,0.0005574076,0.001821226,0.001636841,0.001034858,0.003630794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00041628,"about_ca_system_score_gemma":0.0005143789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009886713,"about_ca_topic_score_gemma":0.001336959,"domain_scores_codex":[0.9986454,0.0002521853,0.00008154351,0.0002303354,0.0005612054,0.0002293499],"domain_scores_gemma":[0.9985753,0.0003357106,0.0001887683,0.0003521981,0.0003984866,0.0001494434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001547093,0.001359844,0.01714237,0.000865117,0.0001945101,0.0009887279,0.001185127,0.004617677,0.4898521,0.01355694,0.03225733,0.4364332],"study_design_scores_gemma":[0.0004094968,0.006001464,0.09270672,0.0004962019,0.000666514,0.002592982,0.004311922,0.03584273,0.63955,0.006717339,0.2103479,0.0003567508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8530737,0.003246965,0.08874452,0.002147793,0.003861667,0.0002685807,0.0005178432,0.004667406,0.04347158],"genre_scores_gemma":[0.934382,0.0009333706,0.02756894,0.0008167201,0.0003808105,0.00008461231,0.0003428068,0.0003095911,0.03518109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642525,"threshold_uncertainty_score":0.05494791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07220706493727548,"score_gpt":0.3958773184889019,"score_spread":0.3236702535516264,"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."}}