{"id":"W3041579839","doi":"10.1007/s00268-020-05680-2","title":"Geospatial Mapping of Pediatric Surgical Capacity in North Kivu, Democratic Republic of Congo","year":2020,"lang":"en","type":"article","venue":"World Journal of Surgery","topic":"Global Health and Surgery","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"","keywords":"Medicine; Health care; Geospatial analysis; Population; Lagging; Pediatric surgery; Medical emergency; Environmental health; Geography; Surgery; Economic growth; Cartography","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":[0.001604236,0.0001531865,0.001282228,0.0008375735,0.00002611203,0.000005446588,0.00009508797,0.00007317166,0.0001566207],"category_scores_gemma":[0.001423509,0.0001303479,0.0004156247,0.001864627,0.00007535371,0.0001426228,0.00003043804,0.0005225503,0.000002887002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006340479,"about_ca_system_score_gemma":0.0008356427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009779176,"about_ca_topic_score_gemma":0.00009051506,"domain_scores_codex":[0.9965971,0.0001914398,0.002041015,0.0001514698,0.0006187448,0.0004002221],"domain_scores_gemma":[0.9965803,0.001152941,0.00113309,0.0001491204,0.0004223119,0.0005622516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006522989,0.0001921211,0.9876733,0.0007625926,0.00004223267,0.0007915676,0.0002082623,0.00002398022,0.00005204496,0.00002454221,0.007439056,0.002137967],"study_design_scores_gemma":[0.001218035,0.0001417967,0.9946481,0.0002643423,0.00007311454,0.0002656938,0.00007755976,0.0001355558,0.00009860566,0.0000388556,0.002916263,0.0001221056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950433,0.001443788,0.00003134935,0.002491159,0.0004469526,0.0001188293,0.00001008551,0.000008349326,0.0004062331],"genre_scores_gemma":[0.9978957,0.0005692931,0.0002221512,0.0005596397,0.00070291,0.000001098797,0.000005054152,0.00001292617,0.00003122172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006974738,"threshold_uncertainty_score":0.5315433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08582847168159347,"score_gpt":0.2726772750352661,"score_spread":0.1868488033536727,"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."}}