{"id":"W4415506621","doi":"10.2196/preprints.86283","title":"Developing an interactive, personalized patient decision aid for COVID-19 vaccination in Canada: Insights from a human-centered design and development study (Preprint)","year":2025,"lang":"","type":"article","venue":"","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Thematic analysis; Pluralistic walkthrough; Decision aids; Health care; Digital health; Decision support system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03146446,0.00067306,0.0006134138,0.001107571,0.008079005,0.006613231,0.001851386,0.001207581,0.003568947],"category_scores_gemma":[0.04655055,0.0005897172,0.000645404,0.001468835,0.005270861,0.001561989,0.003088344,0.001381104,0.0004221725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04196807,"about_ca_system_score_gemma":0.09883154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5603178,"about_ca_topic_score_gemma":0.6972793,"domain_scores_codex":[0.9794044,0.01531933,0.00087314,0.001043898,0.002063033,0.001296134],"domain_scores_gemma":[0.9474059,0.03720941,0.001395856,0.001007812,0.009469143,0.00351195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006461372,0.001171781,0.02673923,0.002934374,0.0000801768,0.001210049,0.8046974,0.001855974,0.005707865,0.006067134,0.01413741,0.1347525],"study_design_scores_gemma":[0.00100885,0.003422896,0.0516099,0.003680999,0.0003804945,0.0005682209,0.6662385,0.006556991,0.009970453,0.003417604,0.2526949,0.0004501524],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329727,0.001352282,0.02776174,0.006874898,0.0001504716,0.009312592,0.001139559,0.0003663228,0.02006951],"genre_scores_gemma":[0.8576698,0.001443632,0.1218732,0.002227408,0.00002335789,0.006151728,0.000679448,0.0002018683,0.009729604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4396822,"threshold_uncertainty_score":0.8845431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0756424301241479,"score_gpt":0.3616641538251851,"score_spread":0.2860217237010372,"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."}}