{"id":"W3212033605","doi":"10.1182/blood-2021-153165","title":"Development and Evaluation of a Library of TikToks to Support Recruitment of Committed Hematopoietic Stem Cell Donors from Needed Demographic Groups","year":2021,"lang":"en","type":"article","venue":"Blood","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; The Scarborough Hospital; University of British Columbia; Western University; University of Toronto; Toronto Metropolitan University; Brock University; McMaster University; University of Alberta; Simon Fraser University; Stem Cell Network; University of Regina","funders":"","keywords":"Donation; Stakeholder; Social media; Medicine; Public relations; Political science; World Wide Web; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01690107,0.0007850298,0.0004712336,0.001494928,0.002352955,0.003525245,0.003445197,0.001263664,0.01993235],"category_scores_gemma":[0.03052593,0.0005513103,0.0009857063,0.0007063696,0.0007643641,0.002201312,0.004123555,0.001092101,0.004038467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002241948,"about_ca_system_score_gemma":0.008684045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191602,"about_ca_topic_score_gemma":0.007643551,"domain_scores_codex":[0.9926823,0.004257098,0.0004688405,0.0005528726,0.001175074,0.00086381],"domain_scores_gemma":[0.972167,0.01136289,0.001708674,0.001833452,0.004645471,0.008282519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006971736,0.05322501,0.02571866,0.005448723,0.0002163071,0.001557108,0.01740613,0.002742751,0.01106681,0.001942915,0.02739358,0.8463103],"study_design_scores_gemma":[0.01465722,0.1629956,0.2009469,0.007405726,0.001799059,0.002872032,0.06682564,0.02460293,0.06901663,0.005254537,0.4426284,0.0009954137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020367,0.0006030191,0.02822496,0.002002837,0.0005609989,0.03184998,0.001917117,0.003611394,0.02919313],"genre_scores_gemma":[0.6897539,0.001270007,0.2380016,0.00188026,0.0003201915,0.03558329,0.004531014,0.0006147815,0.02804502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993235,"threshold_uncertainty_score":0.08938241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1628725138820848,"score_gpt":0.3620652015594348,"score_spread":0.19919268767735,"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."}}