{"id":"W1979800793","doi":"10.2307/1192619","title":"Romanization in the Time of Augustus","year":2002,"lang":"en","type":"article","venue":"Phoenix","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Romanization; History; Natural language processing; Ancient history; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001972106,0.00002498226,0.00005518596,0.00001657813,0.00009059237,0.000009766526,0.0001245874,0.00001780605,0.0004341399],"category_scores_gemma":[0.0002452185,0.0000175099,0.0000175816,0.0002663702,0.000115528,0.0000443209,0.00001978606,0.00003475918,0.000109804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001529806,"about_ca_system_score_gemma":0.000004350681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003535218,"about_ca_topic_score_gemma":0.001604476,"domain_scores_codex":[0.9995415,0.00008006654,0.00007055533,0.000051155,0.0001659179,0.00009085853],"domain_scores_gemma":[0.9997706,0.0001187085,0.00002403054,0.00005513758,0.00002161937,0.000009884535],"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":[0.000009088265,0.000639011,0.03302634,0.00001963455,0.00002598811,0.00001039413,0.5619797,0.00001413084,0.00147135,0.08241194,0.2773567,0.0430358],"study_design_scores_gemma":[0.000422177,0.00008536414,0.09589284,0.00002932337,0.00002294833,7.115823e-7,0.01182688,0.0006520922,0.0005622714,0.006554894,0.8837516,0.0001988641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7108502,0.0002155465,0.00001358184,0.02460014,0.00007660007,0.0001705585,0.000002052625,0.00003235909,0.264039],"genre_scores_gemma":[0.9959061,0.00006988437,0.0000158816,0.0001598928,0.00005557096,0.000002511605,2.939234e-7,0.000001615944,0.003788252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6063949,"threshold_uncertainty_score":0.4753528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384203782306978,"score_gpt":0.2837632475777376,"score_spread":0.2499212097546679,"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."}}