{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005148081,0.0004144719,0.0006336041,0.0009422601,0.0006026748,0.00002493547,0.0002989778,0.0009723226,0.0006605393],"category_scores_gemma":[0.0000144525,0.0004300151,0.0001667844,0.0009021827,0.00002647003,0.0001880986,0.00006471424,0.002141064,0.002325908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002037903,"about_ca_system_score_gemma":0.0008232609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003525173,"about_ca_topic_score_gemma":0.0002514406,"domain_scores_codex":[0.995629,0.0006182443,0.001600686,0.0007539362,0.0006158978,0.0007823067],"domain_scores_gemma":[0.9977637,0.0005658123,0.0004534728,0.0006230902,0.00016123,0.0004327012],"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":[0.000121584,0.00004376628,0.000424072,0.01689214,0.00001328238,0.00006062731,0.006517717,0.0000540181,0.0003484291,0.001826052,0.9716653,0.002033023],"study_design_scores_gemma":[0.0006943931,0.000136325,0.001638262,0.001912936,0.0002989424,0.0000104324,0.0006049237,0.00007207244,0.0002392014,0.0009262522,0.993015,0.0004512419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01832025,0.000715547,0.01363818,0.9092675,0.003895426,0.02062793,0.008012804,0.0009936023,0.02452879],"genre_scores_gemma":[0.07062876,0.0009345448,0.009796143,0.8268222,0.003051029,0.02452473,0.01573304,0.0004490298,0.04806051],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08244526,"threshold_uncertainty_score":0.9998152,"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."}}