{"id":"W2900635089","doi":"10.5539/gjhs.v10n12p96","title":"Socio-Economic Status, Hygiene Practices and Microbial Exposure of the Waste Collectors of Dhaka City in Bangladesh","year":2018,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Dhaka; University Grants Commission","keywords":"Toilet; Hygiene; Socioeconomic status; Business; Sanitation; Waste management; Environmental health; Socioeconomics; Geography; Engineering; Medicine; Environmental engineering; Population; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003066814,0.0002480226,0.0002939378,0.001012361,0.001514949,0.0007910765,0.0002063689,0.000364791,0.002706444],"category_scores_gemma":[0.0008116895,0.0002788746,0.0002306026,0.001508467,0.0006651002,0.00044849,0.0006845079,0.0003368431,0.0004643991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009869077,"about_ca_system_score_gemma":0.0006956417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03795248,"about_ca_topic_score_gemma":0.06509228,"domain_scores_codex":[0.9997016,0.00007574542,0.00004842342,0.00004717267,0.00005200567,0.00007513246],"domain_scores_gemma":[0.9994899,0.00008611507,0.0001668434,0.00002724412,0.00008741064,0.0001424745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005267002,0.00006837505,0.9928335,0.00003386518,0.0000201765,0.0003944334,0.003592769,0.00003171431,0.0004924563,0.00009411546,0.0001593411,0.002226617],"study_design_scores_gemma":[0.000004440254,0.0001260921,0.9844003,0.0000327601,0.0000146282,0.0003084675,0.0142119,0.00007437448,0.00008807342,0.00004951721,0.000676104,0.00001339745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990792,0.00008277831,0.00001422426,0.00007246611,0.000001836263,0.00001092145,0.0001582401,6.599435e-7,0.0005796434],"genre_scores_gemma":[0.9993256,0.0001614035,0.00003255846,0.0000281261,0.000002036737,0.00001498576,0.0001078059,4.617655e-7,0.0003269804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03795248,"threshold_uncertainty_score":0.07546318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387053724046254,"score_gpt":0.3415723793681241,"score_spread":0.3028670069634987,"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."}}