{"id":"W7132880846","doi":"","title":"Nothing personal?, narrative reconstruction of Registered Nurses' experience in healthcare reform","year":2001,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Nursing education and management","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nothing; Health care; Narrative; Context (archaeology); Qualitative research; Government (linguistics)","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":[0.004583716,0.0004414869,0.0004739469,0.001138614,0.02829031,0.01545077,0.001489237,0.004151368,0.008537991],"category_scores_gemma":[0.01102993,0.0003761275,0.0002849797,0.002073196,0.0267787,0.007450806,0.007338622,0.008707288,0.0006392788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02858746,"about_ca_system_score_gemma":0.01730583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1751361,"about_ca_topic_score_gemma":0.3835191,"domain_scores_codex":[0.9955075,0.00307407,0.00007386759,0.0001804994,0.0003549084,0.0008091924],"domain_scores_gemma":[0.9946477,0.00282263,0.0005261015,0.0001833655,0.0003811107,0.001439139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002385165,0.00001949039,0.0004508224,0.00004288899,0.000002051514,0.0004326346,0.9455456,0.00003728055,0.00004451786,0.03095721,0.01927493,0.003168718],"study_design_scores_gemma":[0.000004922847,0.000008722655,0.001042487,0.00008936976,0.00000254458,0.0001042638,0.8928782,0.00002370404,0.00004014351,0.001293579,0.1045056,0.000006435856],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4282987,0.01192215,0.001146529,0.2181922,0.002624341,0.0001571693,0.0005155351,0.00006864587,0.3370748],"genre_scores_gemma":[0.9286595,0.002893767,0.0002464508,0.006023785,0.0002472382,0.00005944904,0.00009152965,0.00007302197,0.06170538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751361,"threshold_uncertainty_score":0.3482333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07918460258313527,"score_gpt":0.4441703932665825,"score_spread":0.3649857906834473,"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."}}