{"id":"W2620570006","doi":"10.1080/16549716.2017.1295698","title":"Technological solutions for an effective health surveillance system for road traffic crashes in Burkina Faso","year":2017,"lang":"en","type":"article","venue":"Global Health Action","topic":"Traffic and Road Safety","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Crash; Data collection; Developing country; Environmental health; Descriptive statistics; Business; Transport engineering; Economic growth; Medicine; Computer science; 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":[0.0008422523,0.0001613519,0.0003420454,0.00004872519,0.0009018696,0.00003773831,0.0001740757,0.000185476,3.918097e-7],"category_scores_gemma":[0.00005970589,0.0001547704,0.0000720575,0.00009662619,0.00006469632,0.0001721005,0.00001620642,0.0001440002,0.00000464721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805058,"about_ca_system_score_gemma":0.0001091783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438223,"about_ca_topic_score_gemma":0.005858568,"domain_scores_codex":[0.9985565,0.00006767959,0.0003158771,0.0002857444,0.00009275104,0.0006814626],"domain_scores_gemma":[0.9993138,0.00005117911,0.0001363457,0.0003048754,0.0000380474,0.0001557089],"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":[0.0001322783,0.0000840992,0.001013307,0.001106371,0.00001527609,4.456476e-7,0.00005984209,0.04383195,0.000009244992,0.00317055,0.001199756,0.9493769],"study_design_scores_gemma":[0.002056816,0.001030561,0.7522481,0.0002224707,0.000005436533,0.00002655147,0.0005706581,0.2376857,0.00001286232,0.0002483129,0.005583053,0.0003094806],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7400271,0.001848437,0.2417467,0.002787616,0.003818105,0.006060925,0.0008183639,0.002505947,0.000386768],"genre_scores_gemma":[0.998426,0.0001355487,0.000717419,0.00002973593,0.0001772012,0.0004395819,0.00005531079,0.00001557144,0.00000366727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9490674,"threshold_uncertainty_score":0.6936542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250214540634404,"score_gpt":0.3368534100119877,"score_spread":0.3043512646056437,"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."}}