{"id":"W4411108542","doi":"10.1111/hex.70306","title":"Operationalising Patient Engagement Through the Alberta Cancer Diagnosis Initiative: Recruitment Strategies for Diverse Populations in Health System Improvement","year":2025,"lang":"en","type":"article","venue":"Health Expectations","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Alberta; Alberta Health Services","funders":"","keywords":"Focus group; Inclusion (mineral); Community engagement; Public relations; Diversity (politics); Health care; Qualitative research; Population; Medical education; Psychology; Political science; Medicine; Business; Sociology; Environmental health; Social psychology","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":[0.1175003,0.0006669619,0.0005163279,0.002390258,0.01880576,0.009414248,0.00489464,0.002728523,0.003978627],"category_scores_gemma":[0.08306815,0.0005329342,0.000574362,0.002366064,0.01226401,0.004466276,0.02432443,0.004364893,0.0004680654],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04525208,"about_ca_system_score_gemma":0.2158507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1167142,"about_ca_topic_score_gemma":0.2490719,"domain_scores_codex":[0.8677068,0.1093346,0.001917707,0.001804716,0.01052943,0.008706721],"domain_scores_gemma":[0.9210789,0.04081011,0.004568332,0.002392425,0.00760672,0.02354366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002068898,0.0006431186,0.04635891,0.00179397,0.00005136445,0.0008969977,0.6945238,0.0004319737,0.001479,0.01369731,0.02210132,0.2178154],"study_design_scores_gemma":[0.0003524579,0.001292432,0.054777,0.003532385,0.00008808684,0.0004574544,0.7625347,0.001456834,0.001226992,0.01340178,0.1607438,0.0001361178],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6730885,0.0045056,0.03295177,0.2043599,0.0008283965,0.02263588,0.0003969743,0.0003677208,0.06086523],"genre_scores_gemma":[0.9106718,0.001961667,0.05488054,0.01567439,0.0001586196,0.01193773,0.0002610453,0.00005841057,0.004395775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9547479,"threshold_uncertainty_score":0.6214082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7181129639865045,"score_gpt":0.6383467667068882,"score_spread":0.07976619727961631,"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."}}