{"id":"W4243018485","doi":"10.1002/9781118455074.wbeoe428","title":"War, weaponry, and empire: 1. Ancient","year":2016,"lang":"en","type":"other","venue":"The Encyclopedia of Empire","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"State (computer science); Power (physics); Empire; Command and control; Ancient history; Military technology; Control (management); History; Political science; Operations research; Engineering; Management; Archaeology; Computer science; Telecommunications; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004786534,0.0002287583,0.0004005986,0.00007476991,0.0002985905,0.00001396432,0.0004950624,0.000231545,0.001821184],"category_scores_gemma":[0.0004815706,0.0001303993,0.0001061772,0.0001484976,0.001683226,0.00004082104,0.0002885631,0.0001643228,0.0002363085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003907009,"about_ca_system_score_gemma":0.0001697105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082222,"about_ca_topic_score_gemma":0.01159145,"domain_scores_codex":[0.9983602,0.0001895543,0.0002261551,0.000311936,0.0005188022,0.0003933587],"domain_scores_gemma":[0.9988038,0.0004403816,0.0002447114,0.0003513944,0.00004579967,0.0001139321],"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":[0.000005030327,0.00002743999,0.0006658591,0.00003385124,0.00004685473,0.000002662472,0.004303355,6.844895e-9,0.000004084502,0.003930644,0.9649846,0.0259956],"study_design_scores_gemma":[0.0001306188,0.00002367917,0.0007158616,0.0001770084,0.00004564166,4.089006e-7,0.0009457504,1.507597e-7,0.00000282172,0.0009863772,0.9967809,0.0001907363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006813086,0.005341966,0.00000468759,0.01845146,0.000895309,0.0003917621,0.00006875183,0.0001269545,0.9740378],"genre_scores_gemma":[0.001066537,0.03295615,0.00004584089,0.0002858523,0.001457755,0.00002066756,0.000002015496,0.0001073469,0.9640579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03179633,"threshold_uncertainty_score":0.9990913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242164887629984,"score_gpt":0.3164705811946373,"score_spread":0.2940489323183375,"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."}}