{"id":"W4389056379","doi":"10.3390/healthcare11233050","title":"Citation Network Analysis of Nurse Staffing Research from the Past Two Decades: 2000–2022","year":2023,"lang":"en","type":"article","venue":"Healthcare","topic":"Nursing Roles and Practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, Labour and Welfare; New Energy and Industrial Technology Development Organization","keywords":"Staffing; Citation; Nursing; Psychology; Medicine; Computer science; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005289738,0.0001073471,0.0003184079,0.0003845713,0.002020039,0.00002229755,0.0002958144,0.0001600758,0.0007173548],"category_scores_gemma":[0.0005418854,0.00008078582,0.00008832491,0.00645043,0.00007504273,0.0001179769,0.00007911708,0.001279035,0.0002529933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077716,"about_ca_system_score_gemma":0.00066479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01874496,"about_ca_topic_score_gemma":0.02483028,"domain_scores_codex":[0.9936304,0.003960111,0.0005853354,0.0003281392,0.0007055994,0.000790424],"domain_scores_gemma":[0.9897045,0.008672851,0.0003402412,0.0005729796,0.0005652783,0.0001441483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002047062,0.0000287652,0.7799203,0.0001600012,0.0002562467,0.000005742971,0.04472248,0.001557045,0.00003481334,0.003224848,0.1453984,0.02448662],"study_design_scores_gemma":[0.0003614913,0.00008798351,0.8035223,0.0005241981,0.0002400853,1.199347e-7,0.103886,0.005159381,0.000002067815,0.003591142,0.08251218,0.0001131268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089823,0.002905338,0.00006371713,0.08329115,0.001374029,0.0007984621,0.0002283049,0.0001382196,0.0022185],"genre_scores_gemma":[0.9945008,0.0005944753,0.0002457482,0.00124379,0.001286619,0.00009873436,0.0004597527,0.00003121401,0.001538877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08551851,"threshold_uncertainty_score":0.9992792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2349664306973257,"score_gpt":0.5688639029891612,"score_spread":0.3338974722918355,"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."}}