{"id":"W2005766381","doi":"10.1007/s12376-013-0084-5","title":"War Medicine as Springboard for Early Knowledge Construction in Radiology","year":2013,"lang":"en","type":"article","venue":"Medicine Studies","topic":"Twentieth Century Scientific Developments","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of King's College; Saint Mary's University","funders":"","keywords":"History of medicine; Battlefield; Context (archaeology); Sketch; Medical knowledge; Radiology; Perspective (graphical); Medicine; Sociology; History; Artificial intelligence; Computer science; Medical education; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01978211,0.0005246166,0.0005214795,0.004161799,0.01103923,0.01441715,0.001357734,0.004906218,0.01386853],"category_scores_gemma":[0.01590905,0.0005697498,0.0003116044,0.002306731,0.04886729,0.01228022,0.01012518,0.008201478,0.001262335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01766001,"about_ca_system_score_gemma":0.01787729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009004216,"about_ca_topic_score_gemma":0.01651993,"domain_scores_codex":[0.9935285,0.004070695,0.0002857253,0.000554958,0.0007032025,0.0008569909],"domain_scores_gemma":[0.9790506,0.01458444,0.001149535,0.001246721,0.001782574,0.002186226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001918801,0.00003324275,0.0003123241,0.00006826233,0.000003309545,0.0001287483,0.02070709,0.00008070515,0.0002112239,0.9625129,0.004263732,0.01165916],"study_design_scores_gemma":[0.00002897734,0.00009145118,0.002115885,0.0008195087,0.00000814588,0.00028068,0.02765752,0.0002119552,0.001248854,0.3060963,0.6614094,0.00003133377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1078423,0.05427895,0.01958532,0.2750166,0.004854407,0.0001928125,0.0001732067,0.0001564871,0.5379],"genre_scores_gemma":[0.9116902,0.01236716,0.006483849,0.01286015,0.002094858,0.0001291694,0.00006107124,0.0001467558,0.05416681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9889607,"threshold_uncertainty_score":0.1281329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103439474637476,"score_gpt":0.3048823453205276,"score_spread":0.2438479505741528,"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."}}