{"id":"W4402507688","doi":"10.2196/63817","title":"Blood Bonds: Transforming Blood Donation Through Innovation, Inclusion, and Engagement","year":2024,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood donor; Blood transfusion; Donation; Blood supply; Medicine; Productivity; Inclusion (mineral); Intensive care medicine; Blood management; Community engagement; Public relations; Business; Political science; Psychology; Surgery; Immunology; Economic growth; Economics; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009472964,0.000262604,0.0002543667,0.000528265,0.0009063999,0.0003359348,0.0001350994,0.00008128256,0.0019859],"category_scores_gemma":[0.0001981713,0.0001930117,0.00002878056,0.001634527,0.000166754,0.003054843,0.0001615893,0.0003446735,0.00004871301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508115,"about_ca_system_score_gemma":0.00004577729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001797758,"about_ca_topic_score_gemma":0.00008787154,"domain_scores_codex":[0.9982517,0.00003373042,0.0005244551,0.0004522303,0.000529048,0.0002087864],"domain_scores_gemma":[0.9991956,0.0001180148,0.0001029634,0.0001409535,0.0004267744,0.00001563745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004603246,0.0003124212,0.0008643515,0.0007240339,0.0002422675,0.00006175986,0.01794442,0.000007894915,0.04564285,0.9035956,0.003134433,0.02742397],"study_design_scores_gemma":[0.002775994,0.0001297812,0.001465407,0.0004574117,0.0004282248,0.00003087523,0.002832714,0.001167318,0.001387903,0.004671338,0.9842972,0.0003558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7348471,0.005335386,0.005202913,0.110454,0.001380868,0.001877859,0.000009810425,0.0007390203,0.1401531],"genre_scores_gemma":[0.9880085,0.0004128742,0.0003343563,0.007871087,0.001787709,0.000173345,0.0001152598,0.00003632226,0.001260544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9811628,"threshold_uncertainty_score":0.9989264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169933469467166,"score_gpt":0.3055474506423174,"score_spread":0.2738481159476457,"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."}}