{"id":"W4200520960","doi":"10.26721/spafa.pqcnu8815a-01","title":"A Historiography of Settlement Archaeology in Southeast Asia, with Emphasis on the Pre-industrial State Formations | မပထနကအခကအလကအပတညလက အပပတငအ အပပခခပနထငပခငဆငပပငသပတသ နပလလသင","year":2021,"lang":"my","type":"article","venue":"","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Historiography; Settlement (finance); Excavation; Archaeology; Context (archaeology); State (computer science); History; Southeast asia; Geography; Ancient history; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198945,0.0002358966,0.000129872,0.001140478,0.002495273,0.002154398,0.0002997295,0.0002557083,0.002144459],"category_scores_gemma":[0.0007066052,0.0001857277,0.0001029235,0.003515729,0.004883209,0.001425171,0.001385562,0.0008883232,0.0001112161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003282131,"about_ca_system_score_gemma":0.002844935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226775,"about_ca_topic_score_gemma":0.04315156,"domain_scores_codex":[0.9997687,0.0001200866,0.00002151213,0.0000284894,0.00002352801,0.00003778043],"domain_scores_gemma":[0.9996067,0.0001661138,0.00009281669,0.00005182083,0.00004811273,0.00003446144],"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":[0.00006554817,0.00004462947,0.04722406,0.0005382506,0.00001719781,0.001334355,0.6610136,0.0005381774,0.0017431,0.1621908,0.005390673,0.1198996],"study_design_scores_gemma":[0.00001328102,0.0001527919,0.1533456,0.001580123,0.00002630191,0.002383517,0.3829381,0.000606451,0.001244812,0.01599987,0.4416797,0.00002946815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640912,0.02843971,0.003058405,0.007146842,0.0003664182,0.00005402246,0.0001818021,0.00004337239,0.09661823],"genre_scores_gemma":[0.9826377,0.009808344,0.0008198359,0.0001536628,0.00004682832,0.00002238226,0.00004074798,0.00001310298,0.006457287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226775,"threshold_uncertainty_score":0.0442763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04246556270630464,"score_gpt":0.2452959415989922,"score_spread":0.2028303788926875,"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."}}