{"id":"W3024712431","doi":"10.11575/prism/37850","title":"Nurses, Soft Skills and Power: Life Stories of Internationally Educated Nurses","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soft power; Soft skills; Power (physics); Nursing; Psychology; Medicine; Medical education; Political science; Politics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006204072,0.001947446,0.001045579,0.002314375,0.0270035,0.01090331,0.003593667,0.00358899,0.002466344],"category_scores_gemma":[0.0163897,0.0008137143,0.000617657,0.00245847,0.02643281,0.009259375,0.01297843,0.009262402,0.0004536815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03317732,"about_ca_system_score_gemma":0.01510438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4367316,"about_ca_topic_score_gemma":0.6214395,"domain_scores_codex":[0.9904912,0.005276353,0.0001818216,0.0003806651,0.001762738,0.001907146],"domain_scores_gemma":[0.986896,0.006375282,0.001122584,0.0003635417,0.001848309,0.003394189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001187818,0.00001306081,0.001094191,0.00002836876,0.000002760919,0.0005134512,0.9948518,0.00001738047,0.00005545321,0.0007915636,0.0009911966,0.001628955],"study_design_scores_gemma":[8.971174e-7,0.000008982702,0.0007268408,0.00007462366,0.000002938036,0.0001465543,0.9896408,0.00001844559,0.00005243405,0.000155491,0.009160168,0.00001187176],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364061,0.004102104,0.001186734,0.01960886,0.0005291479,0.000105618,0.0002366617,0.0000358171,0.03778899],"genre_scores_gemma":[0.9855762,0.002954318,0.0005358261,0.002535465,0.00009194466,0.00006882687,0.0001306884,0.0000637449,0.008043005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4367316,"threshold_uncertainty_score":0.868379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761713495190773,"score_gpt":0.4698678170685119,"score_spread":0.4322506821166042,"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."}}