{"id":"W4405549540","doi":"10.1353/aca.2024.a947475","title":"Nursing History: Biography and Moving Beyond the \"Great Nurses\"","year":2024,"lang":"en","type":"article","venue":"Acadiensis","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biography; Nursing; History of nursing; History; Medicine; Art history; Nurse education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003995927,0.0001943943,0.0001525066,0.0003166196,0.0003352637,0.0002010486,0.0001658958,0.0001274358,0.00008474237],"category_scores_gemma":[0.0001139089,0.0001532122,0.0001073822,0.000455344,0.0004844404,0.0004523833,0.000005664065,0.0004371031,0.00006002023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225985,"about_ca_system_score_gemma":0.00005677147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168977,"about_ca_topic_score_gemma":0.00002087081,"domain_scores_codex":[0.9986422,0.0001505109,0.0001799251,0.0004175605,0.0002175268,0.000392267],"domain_scores_gemma":[0.9989329,0.0005143543,0.00005918612,0.0003307039,0.00004910207,0.0001137485],"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":[0.0001125702,0.00009933472,0.004109725,0.0001283343,0.0001217326,0.00001430219,0.1205867,0.000002023835,0.002088402,0.0104197,0.5005232,0.361794],"study_design_scores_gemma":[0.0001874397,0.0001210011,0.01532044,0.000485399,0.0005802906,0.000218644,0.01142128,0.0004859054,0.000727577,0.008175087,0.961884,0.0003929886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6551995,0.1040663,0.00009695879,0.1523055,0.03916783,0.0005462504,0.000009424262,0.0008255706,0.04778273],"genre_scores_gemma":[0.993918,0.0001107796,0.0003893005,0.002603576,0.000944977,0.00001217793,0.000008693591,0.0000594019,0.001953075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4613608,"threshold_uncertainty_score":0.6247813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348728418608599,"score_gpt":0.2908598003800822,"score_spread":0.2673725161939962,"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."}}