{"id":"W6918182362","doi":"10.58079/ta9s","title":"Leslie C. Orr -- Mythologizing, Archaizing, and Localizing: Royal Glory and the Tenkasi Pandyas","year":2014,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Asian Studies and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glory; Ridiculous; Gloom; Queen (butterfly)","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001962277,0.0002303837,0.0003655042,0.00008119902,0.002922935,0.0002683485,0.0002927973,0.0001589258,0.0004588308],"category_scores_gemma":[0.0005025135,0.0001782758,0.00008567317,0.0001543849,0.002873096,0.001653022,0.0002300796,0.0002687591,0.000138746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028689,"about_ca_system_score_gemma":0.00008490296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004376636,"about_ca_topic_score_gemma":0.004578285,"domain_scores_codex":[0.9976681,0.0005791658,0.0003336957,0.0004791001,0.0004866544,0.0004532221],"domain_scores_gemma":[0.9986991,0.0004492771,0.0002116001,0.0002626792,0.0001537906,0.0002235525],"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":[0.00009638981,0.00004479544,0.0003554436,0.0000239787,0.00003690817,0.000009649257,0.002945921,0.000006712053,0.000006614601,0.9316022,0.03038679,0.03448462],"study_design_scores_gemma":[0.001491387,0.0001017498,0.01175457,0.00005655771,0.00006379148,0.00001139073,0.01157453,0.0001024011,0.000009412655,0.007878607,0.966658,0.000297606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006296018,0.003556255,0.003674905,0.1153173,0.001794516,0.001020579,0.00004496742,0.0002444146,0.8680511],"genre_scores_gemma":[0.9700825,0.001307662,0.0007214647,0.0180577,0.001478618,0.0001925756,0.00004335508,0.00002788975,0.008088252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9637865,"threshold_uncertainty_score":0.9998405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720285238336965,"score_gpt":0.2539020590271496,"score_spread":0.2366992066437799,"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."}}