{"id":"W2512938932","doi":"10.1016/j.aogh.2016.04.583","title":"The implementation of an app-based dataset for injury data acquisition in Montevideo, Uruguay","year":2016,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Annals; Global health; Publication; Public health; Publishing; Political science; Medicine; Public relations; Library science; Geography; Computer science; Law; Nursing","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":[0.001670964,0.00008745007,0.0001561702,0.00001377993,0.00009323849,0.000007329487,0.0004763333,0.00003273901,0.0001276729],"category_scores_gemma":[0.00003449992,0.00005625898,0.00002055435,0.0001359235,0.0001492502,0.0005331801,0.0001538413,0.00002470854,0.00001382464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573891,"about_ca_system_score_gemma":0.0000926748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116896,"about_ca_topic_score_gemma":0.01039537,"domain_scores_codex":[0.9984711,0.0001334062,0.0004810021,0.0002692819,0.0002646676,0.0003805349],"domain_scores_gemma":[0.9988633,0.00008146647,0.0002571647,0.000616018,0.000006550831,0.0001755057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003840745,0.0002714578,0.0697026,0.0000737213,0.000006543637,3.253254e-7,0.00006219458,0.00002024864,0.000412043,0.0003619442,0.1539042,0.7748006],"study_design_scores_gemma":[0.00126201,0.001574996,0.8271157,0.00007439638,0.000004434168,8.901378e-7,0.0004495053,0.0005111212,0.003008276,0.002624757,0.1632081,0.0001658245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242002,0.000324328,0.0007441018,0.03403312,0.00008844074,0.000979236,0.03951758,0.00001254739,0.0001004932],"genre_scores_gemma":[0.9943473,0.0003573822,0.0007025342,0.002473215,0.00002181148,0.00002473595,0.002064142,0.000005132679,0.000003719536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746348,"threshold_uncertainty_score":0.9954157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05814490006068472,"score_gpt":0.448380710201354,"score_spread":0.3902358101406693,"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."}}