{"id":"W4399836078","doi":"10.2196/55321","title":"Perspectives on Artificial Intelligence in Nursing in Asia","year":2024,"lang":"en","type":"article","venue":"Asian/Pacific Island Nursing Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Health care; China; Perspective (graphical); Interpretation (philosophy); Computer science; Psychology; Artificial intelligence; Knowledge management; Nursing; Data science; Medicine; Political science; Pedagogy","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":[0.002907277,0.00052178,0.0003853166,0.001398673,0.002820034,0.006388851,0.0007163279,0.00192401,0.00581171],"category_scores_gemma":[0.001350049,0.0001099344,0.0003744895,0.001261575,0.009274811,0.005183801,0.004883197,0.004167257,0.000904604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003835669,"about_ca_system_score_gemma":0.005773006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00426589,"about_ca_topic_score_gemma":0.004283379,"domain_scores_codex":[0.9987232,0.0007611406,0.00006930703,0.0000876464,0.0001801182,0.00017853],"domain_scores_gemma":[0.9986817,0.0005774402,0.0001568271,0.00007374076,0.0002827503,0.000227592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004976309,0.0000962402,0.003286951,0.0007176407,0.0000274357,0.001003691,0.02547794,0.0005815302,0.0005066073,0.8557195,0.01878495,0.09374777],"study_design_scores_gemma":[0.00001755139,0.0001370698,0.004902054,0.002385399,0.00003212384,0.001382361,0.03279969,0.0009940527,0.0004155235,0.2978736,0.6590185,0.00004211359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02583568,0.1929798,0.008549877,0.2915522,0.004057411,0.00003388626,0.00006443539,0.00005172549,0.476875],"genre_scores_gemma":[0.6191125,0.223511,0.009457489,0.08186168,0.005652513,0.0001787381,0.00008962436,0.00005874554,0.06007778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006388851,"threshold_uncertainty_score":0.02782983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701916850010137,"score_gpt":0.4250265135627872,"score_spread":0.3548348285617735,"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."}}