{"id":"W4390222310","doi":"10.1055/s-0043-1768738","title":"Nursing Informatics' Contribution to One Health","year":2023,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Toronto","funders":"","keywords":"Health informatics; Competence (human resources); Health Administration Informatics; Health care; Informatics; Nursing; Documentation; Nursing research; Medicine; Medical education; Knowledge management; Psychology; Computer science; Political science; Public health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006986629,0.0001577152,0.0006384348,0.0003957938,0.0003537373,0.000008240438,0.0004212175,0.0004038308,0.0003973757],"category_scores_gemma":[0.001614644,0.0001442808,0.00006337959,0.0008355607,0.00009068644,0.0001947834,0.0001516311,0.001037398,0.004414619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000767905,"about_ca_system_score_gemma":0.003525844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002099667,"about_ca_topic_score_gemma":0.00006020845,"domain_scores_codex":[0.993589,0.0003051526,0.002948563,0.00007518176,0.00186013,0.001221911],"domain_scores_gemma":[0.9968402,0.0007009825,0.0008415632,0.0004007326,0.000265843,0.0009506627],"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":[0.0001312674,0.0002340783,0.002275113,0.01144807,0.0001297207,0.000003529029,0.150067,0.00009484587,0.00002995788,0.1686458,0.4677057,0.199235],"study_design_scores_gemma":[0.008722388,0.002350555,0.008376609,0.03937588,0.00005499879,0.00002347536,0.05523662,0.136527,0.0001980279,0.005410991,0.7426503,0.001073192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5008975,0.0007038988,0.2565212,0.1013949,0.008408351,0.01449301,0.0002253013,0.002803542,0.1145523],"genre_scores_gemma":[0.9284335,0.001971748,0.01323149,0.0486632,0.002539517,0.0007694876,0.0005799611,0.0001555662,0.003655538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.427536,"threshold_uncertainty_score":0.9963605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08457427368079094,"score_gpt":0.4888633965080035,"score_spread":0.4042891228272126,"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."}}