{"id":"W2167917112","doi":"10.1093/shm/hkp074","title":"A Surgeon in the Army of the Potomac","year":2009,"lang":"en","type":"article","venue":"Social History of Medicine","topic":"History of Medical Practice","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Queen (butterfly); Library science; History; Gerontology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006078065,0.0004139158,0.0002795466,0.0009003669,0.003608381,0.002338089,0.000453181,0.001644708,0.06955711],"category_scores_gemma":[0.004967343,0.0002287674,0.0002190236,0.0007438167,0.001894689,0.002274978,0.002390463,0.003649066,0.009523236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627431,"about_ca_system_score_gemma":0.003582826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810245,"about_ca_topic_score_gemma":0.01096509,"domain_scores_codex":[0.9994581,0.0001210415,0.00002558687,0.00007562284,0.0001750133,0.0001445503],"domain_scores_gemma":[0.9987645,0.0001963974,0.0001340459,0.00004573985,0.0001886768,0.0006705703],"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":[0.00002691336,0.00001470862,0.0008425278,0.0001276237,0.000005123638,0.001069598,0.0008287449,0.00001506792,0.0001518977,0.006061845,0.9551815,0.03567454],"study_design_scores_gemma":[0.000005126876,0.00002765372,0.001596368,0.0004094039,0.000006020209,0.003538321,0.001363496,0.0000112193,0.00005593519,0.0009590674,0.9920194,0.000008080206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01332123,0.1104709,0.0004623867,0.4237,0.1805128,0.00005648371,0.0002839978,0.0001134856,0.2710787],"genre_scores_gemma":[0.1611037,0.1082345,0.0008477384,0.1256351,0.05837705,0.0000679353,0.0002540083,0.0001293575,0.5453506],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06955711,"threshold_uncertainty_score":0.2326917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694090372848889,"score_gpt":0.3073900323716406,"score_spread":0.2704491286431517,"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."}}