{"id":"W7093080103","doi":"10.15353/et.v1i1.6798","title":"Shadows of Conquest","year":2025,"lang":"","type":"article","venue":"Epic Threads","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bronze; Shot (pellet); Casting; Clothing; Front (military); Fresco","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":[0.0005543546,0.000195387,0.0005663738,0.0001014553,0.0005013542,0.00004569912,0.0004966536,0.0002031925,0.001559924],"category_scores_gemma":[0.0006906766,0.0001852823,0.0001690274,0.000869473,0.002160048,0.0001125222,0.0003667089,0.0002334661,0.0001772966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004795,"about_ca_system_score_gemma":0.0002544925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825301,"about_ca_topic_score_gemma":0.005948714,"domain_scores_codex":[0.9980248,0.0002082773,0.0005268787,0.0003667671,0.0004055974,0.0004676654],"domain_scores_gemma":[0.9985663,0.0006282263,0.0001778108,0.0003174914,0.0002160477,0.00009414974],"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":[0.00002599862,0.000287516,0.02058662,0.0001358923,0.0001830107,0.000004316285,0.008729794,0.00000114225,0.0001746838,0.8682377,0.0427775,0.05885579],"study_design_scores_gemma":[0.0005123315,0.000142917,0.02651115,0.0003559717,0.0001814677,2.262409e-7,0.007129577,0.00003685183,0.001129127,0.1001221,0.8635888,0.0002895597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06209237,0.006789667,0.0001949168,0.06251334,0.003357545,0.0005241724,0.00005851734,0.00009153324,0.8643779],"genre_scores_gemma":[0.9194143,0.001406187,0.00007687775,0.0004452933,0.0002414106,0.00001008866,0.000001926722,0.000006349867,0.07839751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.857322,"threshold_uncertainty_score":0.9993528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756649613463334,"score_gpt":0.3412853363971652,"score_spread":0.3137188402625318,"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."}}