{"id":"W4253026055","doi":"10.1017/s0021911820001606","title":"Ban Chiang's Contribution to Prehistory - Ban Chiang, Northeast Thailand, Volume 2A: Background to the Study of the Metal Remains. Edited by Joyce C. White and Elizabeth G. Hamilton. Philadelphia: University of Pennsylvania Press, 2018. 296 pp. ISBN: 9781931707213 (cloth). - Ban Chiang, Northeast Thailand, Volume 2B: Metals and Related Evidence from Ban Chiang, Ban Tong, Ban Phak Top, and Don Klang. Edited by Joyce C. White and Elizabeth G. Hamilton. Philadelphia: University of Pennsylvania Press, 2018. 296 pp. ISBN: 9781931707787 (cloth). - Ban Chiang, Northeast Thailand, Volume 2C: The Metal Remains in Regional Context. Edited by Joyce C. White and Elizabeth G. Hamilton. Philadelphia: University of Pennsylvania Press, 2020. 240 pp. ISBN: 9781931707930 (cloth).","year":2020,"lang":"en","type":"article","venue":"The Journal of Asian Studies","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Prehistory; Chiang mai; White (mutation); History; Ancient history; Archaeology; Ethnology; Biology","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.004769491,0.002281413,0.004553725,0.0003744806,0.003969525,0.000334654,0.003497041,0.0010654,0.0002135746],"category_scores_gemma":[0.0008976698,0.001769724,0.0008791694,0.002317241,0.008256214,0.002435785,0.002220998,0.002865018,0.00001225674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698745,"about_ca_system_score_gemma":0.0005771464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02171174,"about_ca_topic_score_gemma":0.05245278,"domain_scores_codex":[0.983129,0.005618108,0.002858585,0.002600331,0.00347614,0.002317859],"domain_scores_gemma":[0.9889602,0.001327815,0.004257963,0.001970792,0.001844075,0.001639135],"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":[0.008551128,0.001882115,0.2036953,0.000709174,0.007930271,0.000164878,0.2380121,0.000164271,0.001376947,0.0002134574,0.5367654,0.0005349548],"study_design_scores_gemma":[0.0139849,0.003475764,0.288124,0.00203278,0.007351703,0.000210806,0.2782826,0.001218597,0.00007454503,0.00009690161,0.4023387,0.002808737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6802171,0.1978451,0.0001967505,0.1010835,0.001477775,0.007671324,0.01054006,0.000239104,0.00072925],"genre_scores_gemma":[0.938739,0.05639151,0.0002292682,0.0005027329,0.001138258,0.00001937427,0.0002399922,0.000231274,0.002508564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585219,"threshold_uncertainty_score":0.9994354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183198736441897,"score_gpt":0.2396893152959003,"score_spread":0.2178573279314814,"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."}}