{"id":"W4390145469","doi":"10.1002/nop2.2075","title":"Nursing and midwifery in a changing world: Addressing planetary health and digital literacy through a global curriculum","year":2023,"lang":"en","type":"editorial","venue":"Nursing Open","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Nursing; Nursing shortage; Medicine; Global health; Curriculum; Nurse education; Obstetrics; Political science; Public health","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":[0.004526857,0.0005275224,0.0004289042,0.001234928,0.001747145,0.006111374,0.001031066,0.004592398,0.006308276],"category_scores_gemma":[0.009852204,0.0002151971,0.0006850496,0.0006384158,0.002653935,0.006055088,0.004337844,0.008993271,0.001368496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002422282,"about_ca_system_score_gemma":0.008108907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625967,"about_ca_topic_score_gemma":0.005468629,"domain_scores_codex":[0.9974624,0.001035362,0.0002132555,0.000205766,0.0007123835,0.0003708353],"domain_scores_gemma":[0.994317,0.002186174,0.0004303836,0.000154503,0.001199196,0.001712739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003864557,0.000154315,0.0009697126,0.003327972,0.00003184499,0.0003840872,0.007337765,0.0002033731,0.001099051,0.03429969,0.6716969,0.2804566],"study_design_scores_gemma":[0.000007115812,0.00003400437,0.0008180192,0.001921053,0.0000147607,0.0001393585,0.001425091,0.00004440178,0.0001424341,0.003937765,0.991504,0.00001200084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.00349258,0.125423,0.00270174,0.6053934,0.2345142,0.00009638969,0.00005219792,0.0001084883,0.02821807],"genre_scores_gemma":[0.05239687,0.2826236,0.008905259,0.3879507,0.2196984,0.0002180662,0.0002163775,0.0002978081,0.04769299],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.006308276,"threshold_uncertainty_score":0.02394056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06452729096328627,"score_gpt":0.4183916631773666,"score_spread":0.3538643722140803,"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."}}