{"id":"W4411523917","doi":"10.31235/osf.io/zj5gw_v1","title":"Battles and Capitals","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Belligerent; Context (archaeology); State (computer science); Economic geography; Terrain; Power (physics); Cartography; Political science; Politics; Law; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004020161,0.0001754705,0.0002670005,0.001079619,0.002800393,0.003172325,0.0003561602,0.0004452322,0.01347863],"category_scores_gemma":[0.003558314,0.0001419139,0.0001295123,0.001569342,0.008129787,0.002171159,0.004162659,0.0006548723,0.000712793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296689,"about_ca_system_score_gemma":0.0005025798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064992,"about_ca_topic_score_gemma":0.01681858,"domain_scores_codex":[0.9992613,0.0002708025,0.00002734575,0.0001415428,0.00007543034,0.0002234842],"domain_scores_gemma":[0.998179,0.000306625,0.000662351,0.0001848384,0.0001087568,0.0005584924],"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":[0.0003160213,0.00014532,0.3576277,0.0001738969,0.000122005,0.00119416,0.0445131,0.002943705,0.001356204,0.4868701,0.0110516,0.09368619],"study_design_scores_gemma":[0.00005399406,0.0001880662,0.6184061,0.0003193277,0.00004989792,0.001323054,0.08150296,0.001901589,0.0006425289,0.1501243,0.1454055,0.00008279551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8731832,0.0008121492,0.002677637,0.002164781,0.00004021691,0.00001582798,0.000194079,0.00002709882,0.1208851],"genre_scores_gemma":[0.9978188,0.0001114209,0.0001527317,0.00004956652,0.000007595395,0.000002962292,0.00003027907,0.000004612111,0.00182197],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01347863,"threshold_uncertainty_score":0.04509056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927000920399188,"score_gpt":0.3350798222755674,"score_spread":0.3058098130715756,"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."}}