{"id":"W4402916123","doi":"10.2196/59343","title":"Applying the Multiphase Optimization Strategy for the Development of a Culturally Tailored Resilience-Building Intervention to Facilitate Advance Care Planning Discussions for Chinese Americans: Protocol for a Survey and Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities","keywords":"Preprint; Protocol (science); Intervention (counseling); Resilience (materials science); Computer science; Medicine; Psychology; Process management; Nursing; Engineering; Alternative medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.04810586,0.002842715,0.002496767,0.002853876,0.007104187,0.002232173,0.003971445,0.002428357,0.02209034],"category_scores_gemma":[0.02914444,0.003028425,0.003006372,0.002636438,0.003018153,0.002665446,0.004317493,0.005269803,0.004194005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00753632,"about_ca_system_score_gemma":0.04328371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00975499,"about_ca_topic_score_gemma":0.02108992,"domain_scores_codex":[0.9801333,0.01372896,0.001846855,0.001215519,0.001371215,0.001704063],"domain_scores_gemma":[0.9798129,0.007642361,0.001351844,0.002626366,0.006518646,0.002047887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01780808,0.02674734,0.01126782,0.04495581,0.0004915612,0.003531316,0.215726,0.00779319,0.01955717,0.02025128,0.09078392,0.5410865],"study_design_scores_gemma":[0.0492065,0.02277619,0.03879689,0.02811432,0.001071738,0.001231588,0.2007928,0.008769691,0.02490043,0.02815771,0.5948213,0.001360836],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0072833,0.0000993541,0.00818483,0.00035745,0.00008224703,0.9818781,0.001010643,0.00005971576,0.001044374],"genre_scores_gemma":[0.001933029,0.00008010562,0.01171417,0.0001170937,0.000005480331,0.9857672,0.0001133774,0.000004373286,0.0002650444],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04810586,"threshold_uncertainty_score":0.2544112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6720320341539414,"score_gpt":0.6972733158381307,"score_spread":0.02524128168418927,"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."}}