{"id":"W4416839351","doi":"10.1097/01.tp.0001175012.50891.9d","title":"218.5: Developing personas to enable tailored public health communications: The case of organ donation in Quebec.","year":2025,"lang":"en","type":"article","venue":"Transplantation","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Montreal General Hospital","funders":"","keywords":"Organ donation; Persona; Public health; Donation; MEDLINE; Tissue Donation","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":[0.00679115,0.0004253559,0.000176933,0.0006770735,0.0163149,0.005954712,0.001907345,0.00381121,0.02393849],"category_scores_gemma":[0.01100086,0.0002855618,0.0005048249,0.001032204,0.003842334,0.002557937,0.004971066,0.002700199,0.003724084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03488328,"about_ca_system_score_gemma":0.06717648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.932147,"about_ca_topic_score_gemma":0.9611312,"domain_scores_codex":[0.9943804,0.003118661,0.0001022435,0.0003141093,0.0009205934,0.001164002],"domain_scores_gemma":[0.9914717,0.00199389,0.0002759148,0.0005204154,0.003069579,0.002668605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"design_other","study_design_scores_codex":[0.0001421683,0.00036811,0.03335366,0.0007656234,0.00004808715,0.007260555,0.1818846,0.0009659717,0.00357578,0.04759889,0.4061621,0.3178745],"study_design_scores_gemma":[0.00003183631,0.0001134199,0.01934817,0.0006011598,0.00003598641,0.0008619244,0.07488683,0.001377141,0.0006490207,0.002764731,0.899231,0.00009875751],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1551194,0.006037064,0.03301185,0.2459252,0.002459463,0.001356501,0.001645006,0.001790791,0.5526546],"genre_scores_gemma":[0.6407483,0.003236139,0.03685298,0.04029394,0.0001945531,0.0007608844,0.001263893,0.0004540044,0.2761954],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06785303,"threshold_uncertainty_score":0.2530971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05991185731294409,"score_gpt":0.3215612779984454,"score_spread":0.2616494206855013,"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."}}