{"id":"W2429469366","doi":"10.1136/jrnms-88-5","title":"Light before Dawn: Naval Nursing and Medical Care during the Crimean War","year":2002,"lang":"en","type":"article","venue":"Journal of The Royal Naval Medical Service","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Military medicine; Medicine; Nursing; Medical emergency; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009967942,0.0002657356,0.0005082163,0.00009525833,0.0004131756,0.00004095934,0.0007454993,0.0003459366,0.0006733026],"category_scores_gemma":[0.001574689,0.0001367139,0.0002397681,0.0004039764,0.0002080741,0.0001213567,0.00018274,0.001736143,0.00003029097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851025,"about_ca_system_score_gemma":0.000265986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005719348,"about_ca_topic_score_gemma":0.0001572471,"domain_scores_codex":[0.9947437,0.0003064224,0.0008378376,0.0002530752,0.003392695,0.0004662847],"domain_scores_gemma":[0.9975817,0.0002494068,0.000377912,0.0003972465,0.0004707681,0.0009229203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001356853,0.001275244,0.02927203,0.001726284,0.0007285682,0.002868351,0.05729017,0.00007603403,0.0009580639,0.0001535045,0.01298213,0.8913128],"study_design_scores_gemma":[0.02826586,0.003095332,0.7834211,0.02758708,0.002979744,0.02337264,0.02956923,0.0486128,0.006831332,0.0009494423,0.04399135,0.001324079],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859788,0.006312549,0.00005238885,0.1044028,0.00140235,0.0002748193,0.000003519365,0.00003507119,0.001537693],"genre_scores_gemma":[0.9932128,0.0001965509,0.0003213907,0.00373487,0.002335627,0.000002746203,0.000001754697,0.00004265883,0.0001516071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8899887,"threshold_uncertainty_score":0.7542775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081573683273945,"score_gpt":0.2627672740565165,"score_spread":0.251951537223777,"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."}}