{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001124591,0.000117723,0.0001721743,0.0004960888,0.0001193805,0.00002186865,0.0001238374,0.00007167794,0.0000141008],"category_scores_gemma":[0.00005685948,0.0001313345,0.00001850214,0.002721501,0.000009789935,0.00006904175,0.00005126199,0.000240861,0.0006112143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527118,"about_ca_system_score_gemma":0.00006817621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120493,"about_ca_topic_score_gemma":0.00005507801,"domain_scores_codex":[0.9984272,0.00003305771,0.0004739782,0.0002270361,0.0003889045,0.0004498995],"domain_scores_gemma":[0.9993833,0.00003570772,0.00004658441,0.00029595,0.0001398609,0.00009865443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001286862,0.0003212588,0.003899287,0.001646078,0.0001209728,0.000006770847,0.001236609,0.06123375,0.1475613,0.4595909,0.04732753,0.2769269],"study_design_scores_gemma":[0.0007302812,0.0004615595,0.6027099,0.0000862887,0.000001739691,4.014901e-7,0.0000809214,0.3838049,0.0007145729,0.002490831,0.008491307,0.0004272426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744712,0.000009764602,0.01328294,0.007991246,0.0006142482,0.0006146709,0.00009537501,0.0005703066,0.002350319],"genre_scores_gemma":[0.9962113,0.00003943045,0.0007935091,0.001437834,0.0001014371,0.00009223776,0.0003130176,0.00004136694,0.000969832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5988107,"threshold_uncertainty_score":0.7856127,"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."}}