{"id":"W4296817073","doi":"10.18280/isi.270406","title":"Designing, Developing, and Efficiency Evaluation of a Smartphone Application for Blood Donation","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mahasarakham University","keywords":"Unavailability; Blood donor; Schedule; Computer science; Donation; Smart phone; Medicine; Engineering; Reliability engineering; Telecommunications; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005374737,0.0005338048,0.000458907,0.000940554,0.0004373928,0.001258098,0.0008384254,0.0005756477,0.001673016],"category_scores_gemma":[0.01208021,0.0003252888,0.0005157588,0.0003015588,0.000423988,0.001560842,0.000661362,0.000329779,0.0003353922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004876072,"about_ca_system_score_gemma":0.0009580737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000808918,"about_ca_topic_score_gemma":0.0008902636,"domain_scores_codex":[0.9960861,0.002348291,0.0003032898,0.0002501446,0.0007879414,0.0002241548],"domain_scores_gemma":[0.9930997,0.003738114,0.0003725947,0.0004874469,0.00205003,0.0002522028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002868261,0.005905526,0.09933663,0.00566807,0.000256925,0.001990179,0.02258867,0.005018395,0.1455542,0.001880868,0.002297269,0.706635],"study_design_scores_gemma":[0.001152467,0.08423513,0.4937162,0.002108033,0.002193545,0.006419427,0.05596163,0.09285193,0.2103357,0.00191985,0.04848622,0.0006199344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684497,0.0002856564,0.02601125,0.0001306125,0.00003276674,0.002102772,0.00006002131,0.0002112162,0.00271594],"genre_scores_gemma":[0.9067413,0.0003984486,0.08922455,0.000111517,0.00002112635,0.001145493,0.0001153998,0.00003670433,0.002205546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005374737,"threshold_uncertainty_score":0.02842468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516970357795868,"score_gpt":0.2525194225849219,"score_spread":0.2273497190069633,"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."}}