{"id":"W4412648715","doi":"10.1093/eurjcn/zvaf122.035","title":"Informing health policy to strengthen the clinical nurse specialist workforce: Insights from Canada","year":2025,"lang":"en","type":"article","venue":"European Journal of Cardiovascular Nursing","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Workforce; Nursing; Clinical nurse specialist; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005036595,0.0003039478,0.001115973,0.0002691087,0.001471763,0.00005557821,0.0009459776,0.00008507247,0.00002817582],"category_scores_gemma":[0.001396127,0.0002194668,0.0007562872,0.0009888014,0.0001431979,0.0001668357,0.0001199938,0.001683483,0.00005016613],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171336,"about_ca_system_score_gemma":0.006892621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09442233,"about_ca_topic_score_gemma":0.02490535,"domain_scores_codex":[0.9888329,0.006312257,0.002603617,0.0003138971,0.001064256,0.0008731073],"domain_scores_gemma":[0.9959767,0.0008399876,0.000916258,0.00100709,0.0005384764,0.0007214631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000259699,0.0000492722,0.001946499,0.00006008208,0.0008875569,0.0002116597,0.008943004,0.003640991,8.450726e-7,0.002246536,0.1752874,0.8064665],"study_design_scores_gemma":[0.001324123,0.0001142057,0.0348121,0.006328075,0.0001864404,0.00001589537,0.01256509,0.00002559478,0.000002621391,0.0002344017,0.9442153,0.0001761817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4525717,0.06735585,0.008618094,0.1149593,0.02844983,0.002645605,0.00005885737,0.0001375508,0.3252033],"genre_scores_gemma":[0.9677865,0.001059224,0.001825595,0.01874268,0.009618666,0.000003392101,0.00001124719,0.00007866402,0.0008740355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8062903,"threshold_uncertainty_score":0.9998282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357020768016418,"score_gpt":0.4207879156976307,"score_spread":0.3672177080174666,"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."}}