{"id":"W4205883912","doi":"10.2196/preprints.29020","title":"Population Health Surveillance Using Mobile Phone Surveys in Low- and Middle-Income Countries: Methodology and Sample Representativeness of a Cross-sectional Survey of Live Poultry Exposure in Bangladesh (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Guelph; Public Health Ontario; University of Toronto","funders":"","keywords":"Representativeness heuristic; Population; Mobile phone; Sample (material); Geography; Phone; Census; Survey methodology; Data collection; Demography; Medicine; Environmental health; Statistics; Computer science; Telecommunications; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005906879,0.0003221028,0.0002735323,0.001246502,0.0003245964,0.0007800589,0.0004990898,0.0003851982,0.0008966547],"category_scores_gemma":[0.0103737,0.0002526698,0.0004040547,0.001638207,0.0002270819,0.0004412498,0.0006967464,0.0002165472,0.0005534269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006233655,"about_ca_system_score_gemma":0.00105151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524336,"about_ca_topic_score_gemma":0.01696403,"domain_scores_codex":[0.9939148,0.003792487,0.0007970004,0.0005118179,0.0008149018,0.0001689471],"domain_scores_gemma":[0.9974259,0.0006537635,0.0006593653,0.0003728912,0.0008037829,0.00008442065],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001188536,0.00009314119,0.9465454,0.0002554829,0.000177348,0.00009039683,0.00123473,0.0007609045,0.002343134,0.0002578209,0.002622918,0.04549981],"study_design_scores_gemma":[0.00004026161,0.0004727486,0.9878609,0.0001720653,0.0001215683,0.0002026657,0.002112781,0.002207767,0.001366448,0.0001931279,0.005220647,0.00002909603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424559,0.0008149025,0.03061494,0.0005446713,0.00006744047,0.003988022,0.01510233,0.0001123579,0.006299421],"genre_scores_gemma":[0.9428912,0.0009877094,0.03740993,0.0003551721,0.00004856689,0.007271021,0.00980403,0.00001771836,0.001214561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9940931,"threshold_uncertainty_score":0.03123891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2986016091152381,"score_gpt":0.4916240628189141,"score_spread":0.193022453703676,"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."}}