{"id":"W3212068172","doi":"10.5334/aogh.3381","title":"Internal Migration as a Social Determinant of Occupational Health and WASH Access in Myanmar","year":2021,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences","keywords":"Socioeconomic status; Hygiene; Sanitation; Occupational prestige; Demography; Medicine; Multivariate analysis; Environmental health; Odds ratio; Geography; Population; Sociology","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":[0.0006442719,0.0001147397,0.0003868231,0.00007354451,0.00009830536,0.00001379612,0.000121691,0.00009121597,0.0001248698],"category_scores_gemma":[0.00008241679,0.0001195763,0.00006185862,0.0003482338,0.00006255753,0.0001261947,0.00004584977,0.0001134728,0.000007183537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008140181,"about_ca_system_score_gemma":0.001826575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02050192,"about_ca_topic_score_gemma":0.03399692,"domain_scores_codex":[0.9978805,0.0003526225,0.0008252592,0.0002766088,0.0002468428,0.0004181197],"domain_scores_gemma":[0.9988326,0.00006920716,0.0004979365,0.0001443151,0.0002153502,0.000240582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001582898,0.0008840688,0.7070573,0.001002295,0.00004797041,0.00001812867,0.01794646,0.000002251248,0.000006963586,0.08790503,0.03326789,0.1502787],"study_design_scores_gemma":[0.0006425795,0.0005615553,0.9909085,0.0001560115,0.000001849488,0.00003577998,0.00129468,0.00002694011,0.00004801927,0.004679962,0.001569424,0.00007466883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767925,0.00337797,0.0002597612,0.01825629,0.0002489605,0.0002332958,0.0002084129,0.000009387138,0.0006134263],"genre_scores_gemma":[0.9917371,0.0006857958,0.0002077192,0.007125361,0.00009330853,0.00001226072,0.00007651812,0.000006078049,0.00005588195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838512,"threshold_uncertainty_score":0.9860206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055040968397822,"score_gpt":0.5156355605138067,"score_spread":0.4101314636740244,"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."}}