{"id":"W3137587739","doi":"","title":"Maximizing the Value of Donated Medical Equipment in Resource-limited Settings: The Roles of Donors and End-users","year":2016,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Donation; Business; Transparency (behavior); Health care; Liberian dollar; Accountability; Public relations; Value (mathematics); Economic shortage; Medical equipment; Marketing; Medicine; Finance; Economic growth; Nursing; Political science; Government (linguistics); Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03382409,0.0004739453,0.0004262064,0.001002871,0.005658366,0.01049994,0.001509166,0.00299454,0.006647634],"category_scores_gemma":[0.04859906,0.0003078017,0.0003362967,0.001178319,0.008096823,0.006597099,0.01063496,0.002777708,0.0004149978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00878179,"about_ca_system_score_gemma":0.02111634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004107455,"about_ca_topic_score_gemma":0.005160613,"domain_scores_codex":[0.9616383,0.03176719,0.0008384782,0.000603268,0.00130051,0.003852311],"domain_scores_gemma":[0.9471511,0.0334879,0.006625126,0.001178691,0.003935754,0.007621321],"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":[0.0005882361,0.0008705775,0.263354,0.00261952,0.0001484588,0.005481172,0.1391148,0.002554271,0.001706376,0.2618521,0.03873406,0.2829764],"study_design_scores_gemma":[0.0001573514,0.0009543692,0.05710734,0.009901951,0.0001617009,0.00366722,0.5413384,0.003429238,0.002682309,0.1442842,0.2361518,0.0001640368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6003585,0.0129551,0.01329073,0.2887276,0.0008120552,0.000600342,0.0002112903,0.00004327589,0.08300112],"genre_scores_gemma":[0.9849663,0.003822165,0.00306441,0.005405746,0.00009645307,0.0001512507,0.00002812539,0.000009391314,0.002456255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382409,"threshold_uncertainty_score":0.178881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281390908927224,"score_gpt":0.2507766495815945,"score_spread":0.2379627404923223,"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."}}