{"id":"W2754108846","doi":"10.21037/mhealth.2017.08.08","title":"BLOODR: blood donor and requester mobile application","year":2017,"lang":"en","type":"article","venue":"mHealth","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"JavaScript; World Wide Web; Blood donor; Computer science; Service (business); Web application; Matching (statistics); Internet privacy; Medicine; Immunology; Pathology; Business","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":[0.000336129,0.0000843579,0.0001011243,0.00007061798,0.0006212904,0.0005306489,0.0001691173,0.00004605062,0.0001165686],"category_scores_gemma":[0.00004000204,0.00007613419,0.00001989128,0.0000477527,0.00004481984,0.001430704,0.00006778952,0.00009442832,0.0001933953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003424481,"about_ca_system_score_gemma":0.0000129468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009877774,"about_ca_topic_score_gemma":0.0003575849,"domain_scores_codex":[0.9993596,0.000006212272,0.000152323,0.0002196526,0.0001219753,0.000140258],"domain_scores_gemma":[0.9992943,0.00002091861,0.000260527,0.0003396726,0.00006690242,0.00001764432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001045015,0.0009299367,0.3721623,0.0009761395,0.00009060414,0.00001505373,0.0002122919,0.000005002327,0.00154106,0.2206889,0.004620822,0.3986534],"study_design_scores_gemma":[0.00174008,0.00002538328,0.172081,0.00002739681,0.0001724756,0.000007546095,0.00007967465,0.000664579,0.0001788949,0.004182068,0.820615,0.0002259359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074107,0.0003047849,0.0002533932,0.01000472,0.000453623,0.0005520257,0.000002757916,0.0001610278,0.08085698],"genre_scores_gemma":[0.9952803,0.0001621083,0.000196708,0.003095151,0.0005108695,0.00006816056,0.00001004142,0.00001289445,0.0006637534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8159942,"threshold_uncertainty_score":0.5117059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216380464203363,"score_gpt":0.2884445764229062,"score_spread":0.2668065300025699,"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."}}