{"id":"W4220802171","doi":"10.1016/s2214-109x(22)00048-1","title":"Effect of unmanned aerial vehicle (drone) delivery on blood product delivery time and wastage in Rwanda: a retrospective, cross-sectional study and time series analysis","year":2022,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia; Canada Research Chairs","keywords":"Drone; Time series; Cross-sectional study; Product (mathematics); Medicine; Statistics; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330959,0.0002655463,0.0003496009,0.001096597,0.0002986667,0.0005534075,0.0004289567,0.0003150126,0.0008604066],"category_scores_gemma":[0.004216911,0.0004718326,0.0005523183,0.001442255,0.0004470175,0.0007024154,0.0005066094,0.0006356618,0.0001824739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006502306,"about_ca_system_score_gemma":0.0004979629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224068,"about_ca_topic_score_gemma":0.01005478,"domain_scores_codex":[0.9987325,0.0004721429,0.0002108515,0.0002404771,0.0001256783,0.0002183201],"domain_scores_gemma":[0.9963214,0.0008510815,0.002179276,0.0001882916,0.0002780079,0.0001818828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007137176,0.00003932028,0.9979937,0.00005499808,0.00006545651,0.00008208699,0.0002600763,0.00005090043,0.0001142817,0.00002256406,0.0001598692,0.001085308],"study_design_scores_gemma":[0.000004017532,0.0001331518,0.9983975,0.00005285978,0.00004677257,0.0002436158,0.0006267828,0.0001650921,0.00005684363,0.000009954058,0.0002570431,0.000006342928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983165,0.0005837826,0.000100631,0.00004434757,0.000008092028,0.00002276289,0.000677006,0.00000252015,0.0002444396],"genre_scores_gemma":[0.9989336,0.000409459,0.0001180539,0.00002315759,0.000008805217,0.00003596061,0.0003885624,0.000002284892,0.0000801723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224068,"threshold_uncertainty_score":0.02433884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006298748904711227,"score_gpt":0.2591454279032366,"score_spread":0.2528466789985254,"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."}}