{"id":"W4412545765","doi":"10.63564/jnep.v15n8p15","title":"The educational benefit of integrating genomic principles into an evolving simulation scenario","year":2025,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Data science; Engineering ethics; Sociology; Biology; Engineering","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":[0.0021056,0.0004926233,0.0001946781,0.0003523047,0.0004653718,0.0009856279,0.0008087161,0.0008072454,0.008980394],"category_scores_gemma":[0.009340893,0.0001781828,0.0003941919,0.0001923019,0.0004351371,0.0007378465,0.002331108,0.0009827857,0.0007454818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006282245,"about_ca_system_score_gemma":0.001192953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004851896,"about_ca_topic_score_gemma":0.001193699,"domain_scores_codex":[0.9987233,0.0008173413,0.00005122643,0.0001144832,0.0001486364,0.000145042],"domain_scores_gemma":[0.995522,0.002418987,0.0003539699,0.0002556776,0.0002901346,0.001159136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005500416,0.0811369,0.06339873,0.002003899,0.0002175538,0.001633262,0.03356175,0.04308703,0.03721913,0.007703939,0.01277454,0.7117628],"study_design_scores_gemma":[0.0062193,0.1328503,0.2893628,0.003757365,0.001152967,0.004581674,0.06600071,0.1299538,0.0961729,0.0333114,0.2357502,0.0008867149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714164,0.00006865733,0.01152177,0.001049157,0.00008215059,0.0007217053,0.0001056776,0.0002516034,0.01478289],"genre_scores_gemma":[0.9680727,0.0001567254,0.02839409,0.0002292045,0.0000205739,0.0006321789,0.0001832384,0.00001391151,0.002297431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008980394,"threshold_uncertainty_score":0.03004241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455661212483581,"score_gpt":0.4215817592571387,"score_spread":0.3770251471323029,"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."}}