{"id":"W2783197341","doi":"10.1371/journal.pone.0191054","title":"Using geospatial techniques to develop an emergency referral transport system for suspected sepsis patients in Bangladesh","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Global Affairs Canada; University of Dhaka","keywords":"Referral; Geographic information system; Geospatial analysis; Medicine; Medical emergency; Transport network; Emergency medicine; Geography; Transport engineering; Family medicine; Cartography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001213097,0.0001826042,0.0004159856,0.0001942499,0.0001163664,0.000003066307,0.00008846422,0.0001002797,0.0001002991],"category_scores_gemma":[0.00009276444,0.0001720693,0.00004909089,0.0005691146,0.00002639594,0.00008917914,0.00002022606,0.00008641295,0.00000955027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942844,"about_ca_system_score_gemma":0.00006996729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007741993,"about_ca_topic_score_gemma":0.003441907,"domain_scores_codex":[0.9985065,0.00002443611,0.0004647619,0.0003359344,0.0003085311,0.0003598735],"domain_scores_gemma":[0.9985816,0.000006766337,0.00005789269,0.0002195972,0.001002008,0.0001320853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009607867,0.002181384,0.9481218,0.001051084,0.000394499,0.00001208821,0.006142524,4.302757e-7,0.03640894,0.00007770456,0.0007542159,0.00389451],"study_design_scores_gemma":[0.001366931,0.0020065,0.9045355,0.0009991301,0.0004391742,0.000001376818,0.0008341709,0.0001911642,0.08879596,0.00002075084,0.0003945697,0.000414728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954837,0.00002436959,0.0009923059,0.000106463,0.0002242446,0.0012401,0.00006229361,0.0002281385,0.001638377],"genre_scores_gemma":[0.9752772,0.00001472125,0.02378559,0.00005164011,0.0004532259,0.0001567997,0.0001190497,0.00004230858,0.00009940982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05238701,"threshold_uncertainty_score":0.7016783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071797225221999,"score_gpt":0.3214791214606333,"score_spread":0.2142993989384334,"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."}}