{"id":"W4416114741","doi":"10.7868/s3034579025030114","title":"F.F. von Berg and Russian military intelligence in the second quarter of the 19th century","year":2025,"lang":"en","type":"article","venue":"Российская история / Rossiiskaia istoriia","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Adversary; Military intelligence; Quarter (Canadian coin); Empire; Period (music); Cold war","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016405,0.0002941812,0.0003613241,0.0001867294,0.0008830465,0.0001066777,0.001412014,0.0002899921,0.0006433243],"category_scores_gemma":[0.0002568192,0.0002030101,0.000181011,0.001307222,0.001405062,0.0002821427,0.0001747853,0.0006609883,0.0000354374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902018,"about_ca_system_score_gemma":0.0005249985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007054143,"about_ca_topic_score_gemma":0.05595886,"domain_scores_codex":[0.9967942,0.0007215569,0.0006610646,0.0005257873,0.0006416051,0.0006558441],"domain_scores_gemma":[0.9984357,0.0004346469,0.0001710143,0.0007499168,0.0001089276,0.00009976317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001152848,0.0004262386,0.04286078,0.0002866427,0.00008467995,0.0000291117,0.231185,0.00002681337,0.0002576727,0.6977615,0.01216383,0.01480248],"study_design_scores_gemma":[0.0004533768,0.0002066331,0.1593765,0.0003882643,0.00008826249,0.00001064622,0.07281385,0.0002776154,0.001961973,0.09277999,0.6708199,0.0008228926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6388738,0.01292581,0.0002488684,0.00646287,0.005450194,0.001705056,0.00009393668,0.00009843753,0.3341411],"genre_scores_gemma":[0.9936942,0.0004189978,0.00009535877,0.000628986,0.0002393633,0.00003743314,0.000003851456,0.00001445357,0.004867372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6586561,"threshold_uncertainty_score":0.999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020424151656293,"score_gpt":0.2845378944182584,"score_spread":0.2743336529016955,"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."}}