{"id":"W4396952474","doi":"10.1038/s41409-024-02294-3","title":"A library of TikToks to engage diverse populations to hematopoietic stem cell donation","year":2024,"lang":"en","type":"letter","venue":"Bone Marrow Transplantation","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland; Western University; Université de Montréal; University of Alberta; Stem Cell Network; University of Toronto","funders":"","keywords":"Stem cell; Medicine; Donation; Haematopoiesis; Hematopoietic stem cell; Hematopoietic cell; Immunology; Genetics; Biology","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":[0.003831389,0.001226941,0.0009590289,0.0009236319,0.02642038,0.01035554,0.003380972,0.1046387,0.08400806],"category_scores_gemma":[0.01334958,0.001524961,0.001660748,0.0005140635,0.003405227,0.005209954,0.008968659,0.04747355,0.0251528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00483506,"about_ca_system_score_gemma":0.02408333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284437,"about_ca_topic_score_gemma":0.09456312,"domain_scores_codex":[0.9949609,0.0008384068,0.0002327116,0.0005202054,0.001231397,0.002216415],"domain_scores_gemma":[0.9877855,0.004375342,0.000387162,0.0002964378,0.001204988,0.005950677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007925316,0.00021239,0.0006890204,0.00005953118,0.00001094667,0.001909862,0.0005159564,0.00006730878,0.0007075709,0.004359648,0.9799219,0.01146661],"study_design_scores_gemma":[0.0001459483,0.0001989619,0.00187911,0.0002685296,0.00002515401,0.0009044078,0.003801262,0.0004478356,0.0005105496,0.004483713,0.9872579,0.00007659072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003880005,0.001107655,0.0007479429,0.8874313,0.02243526,0.0003492179,0.0002109983,0.0003444348,0.08349323],"genre_scores_gemma":[0.004960253,0.0003583053,0.0003691932,0.8048676,0.00410847,0.000225673,0.00004180291,0.0000805378,0.1849882],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1046387,"threshold_uncertainty_score":0.281035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05582801186462827,"score_gpt":0.3541369438801412,"score_spread":0.2983089320155129,"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."}}