{"id":"W4392081807","doi":"10.1177/23733799241232641","title":"Leveraging Generative AI to Elevate Curriculum Design and Pedagogy in Public Health and Health Promotion","year":2024,"lang":"en","type":"article","venue":"Pedagogy in Health Promotion","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Curriculum; Health promotion; Generative grammar; Public health; Promotion (chess); Medical education; Health education; Pedagogy; Sociology; Medicine; Public relations; Political science; Computer science; Nursing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005871245,0.000297364,0.0006384469,0.001112095,0.0003352702,0.0001172361,0.00006942761,0.0001730434,0.00004302107],"category_scores_gemma":[0.0003280213,0.0002943893,0.00003480192,0.001030296,0.00007056016,0.000435055,0.00004973261,0.0008041335,0.00003109354],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777028,"about_ca_system_score_gemma":0.006400493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257103,"about_ca_topic_score_gemma":0.003523252,"domain_scores_codex":[0.9949467,0.001250083,0.001437858,0.0009255867,0.0003403655,0.001099426],"domain_scores_gemma":[0.9982258,0.0001382466,0.0002312247,0.0002450525,0.0001831948,0.0009765001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006659298,0.001244025,0.09477182,0.006624522,0.00001991085,0.00002861645,0.1055732,0.0002113331,0.000100623,0.003708555,0.0015554,0.7860954],"study_design_scores_gemma":[0.002705557,0.06780625,0.245399,0.027657,0.00005661928,0.00214207,0.07740827,0.4966093,0.001447662,0.04563705,0.03010671,0.003024506],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5064285,0.005342641,0.04470172,0.4392574,0.0006738023,0.003458794,0.000003484143,0.0001190233,0.00001471298],"genre_scores_gemma":[0.9822382,0.004685437,0.004362267,0.007499658,0.0004626373,0.0004617496,0.0001079324,0.0000502842,0.0001318641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7830709,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.374282274507978,"score_gpt":0.539190388890438,"score_spread":0.16490811438246,"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."}}