{"id":"W2610188256","doi":"10.3390/ijerph14050488","title":"Epidemiology of Drowning in Bangladesh: An Update","year":2017,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health and Family Welfare; Bloomberg Philanthropies","keywords":"Medicine; Epidemiology; Injury prevention; Poison control; Demography; Occupational safety and health; Demographics; Suicide prevention; Rural area; Environmental health; Quarter (Canadian coin); Pediatrics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01141143,0.00005295249,0.0002863476,0.0003332169,0.0001130484,0.000006790404,0.0002685905,0.00007361123,0.0003240704],"category_scores_gemma":[0.002012727,0.00004324182,0.00004664525,0.00002171976,0.0004076284,0.0003574923,0.00009992571,0.0005137861,0.000004377817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723915,"about_ca_system_score_gemma":0.000204622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001785348,"about_ca_topic_score_gemma":0.00003578113,"domain_scores_codex":[0.9979644,0.0007225965,0.0006005652,0.0001174636,0.0003164265,0.0002785582],"domain_scores_gemma":[0.9986451,0.0003623501,0.0004786052,0.0001534197,0.00006759835,0.0002929108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003218895,0.0003747703,0.9290972,0.00001316198,0.00004779006,0.00003878098,0.0001263526,9.085887e-7,0.0002676704,0.00329392,0.0001098442,0.0663077],"study_design_scores_gemma":[0.0008650474,0.001211606,0.9870647,0.000076695,0.000001494343,0.0002327344,0.0002007732,0.00008669345,0.00004509456,0.007271074,0.002917361,0.00002674607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651816,0.0007972268,0.0001898669,0.033212,0.0001576462,0.00008266089,0.00001491283,9.925595e-7,0.0003630251],"genre_scores_gemma":[0.9949514,0.003071307,0.001049466,0.0006443078,0.0001890299,0.000001481533,0.00002281238,0.000004574837,0.00006558935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06628095,"threshold_uncertainty_score":0.3954999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1903260301188132,"score_gpt":0.5033931621509744,"score_spread":0.3130671320321612,"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."}}