{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2015691,0.0002851071,0.001483098,0.000456086,0.0001711235,0.00006069539,0.0002644949,0.0007994364,0.0002464899],"category_scores_gemma":[0.04564513,0.0003195633,0.00008625455,0.0007664742,0.001010118,0.0002002905,0.000499399,0.0006256048,2.550365e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869256,"about_ca_system_score_gemma":0.00135135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6490827,"about_ca_topic_score_gemma":0.4004718,"domain_scores_codex":[0.7212125,0.2733921,0.002381376,0.001634069,0.0006709665,0.0007089886],"domain_scores_gemma":[0.9160115,0.0818273,0.0009539427,0.0004006849,0.0006951606,0.0001114421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00164876,0.000103868,0.9814936,0.0007757102,0.0000557671,0.000006284799,0.01235161,0.003336517,0.00005840733,0.00004580437,1.224745e-7,0.0001235612],"study_design_scores_gemma":[0.0007786423,0.00005972727,0.9925203,0.0004201286,0.000002905872,0.000005263259,0.004851503,0.0001243907,0.0001341567,0.0008621653,3.353354e-7,0.0002404809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987274,0.00176671,0.009031496,0.0000247238,0.0005172556,0.0008679804,0.000487119,0.00001910046,0.00001164598],"genre_scores_gemma":[0.9789007,0.001135146,0.01959251,0.00002186601,0.00003275985,0.00004997967,0.0002245609,0.00001960584,0.00002283284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2486109,"threshold_uncertainty_score":0.9999257,"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."}}