{"id":"W3001672910","doi":"10.22601/saa.2018.08.01","title":"Võideldes kotka ja lõvi varjus: saksid ja württemberglased Saksa armees 1914–1918 [Fighting in the Shadow of the Eagle and Lion: Saxons and Württembergers in the German Army, 1914–1918]","year":2018,"lang":"et","type":"article","venue":"Estonian Yearbook of Military History","topic":"Historical Geopolitical and Social Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Peacetime; Law; Ancient history; German; Political science; Population; History; Economic history; Sociology; Demography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001817536,0.000313513,0.0001392916,0.0004882726,0.002963618,0.001032547,0.000332571,0.0004499369,0.006049927],"category_scores_gemma":[0.0003375032,0.0002244703,0.0001123447,0.0006153232,0.001436217,0.0007230059,0.001553305,0.0009047398,0.001035501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758313,"about_ca_system_score_gemma":0.0009229436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05180663,"about_ca_topic_score_gemma":0.1982935,"domain_scores_codex":[0.999832,0.000025047,0.000006998077,0.00003169171,0.00003006102,0.00007411146],"domain_scores_gemma":[0.9999397,0.00000719087,0.0000241978,0.000003869281,0.000007070681,0.00001797622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001489932,0.0001665464,0.1730018,0.001267119,0.0001945727,0.01114469,0.3761475,0.00137486,0.021015,0.06316945,0.1127141,0.2383143],"study_design_scores_gemma":[0.00002142227,0.0001710393,0.3793767,0.0002671291,0.00003232973,0.001109371,0.0545789,0.0000932594,0.001208798,0.0009468296,0.5621627,0.00003153176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984599,0.008691568,0.0002977746,0.001750533,0.0005219834,0.00002698316,0.0005853443,0.00003431988,0.08963159],"genre_scores_gemma":[0.936509,0.003066657,0.0002126734,0.0001691344,0.00007284418,0.00001676242,0.0005194245,0.00002382925,0.05940969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05180663,"threshold_uncertainty_score":0.1030102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645377679971454,"score_gpt":0.2565766460505226,"score_spread":0.2401228692508081,"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."}}