{"id":"W946640739","doi":"10.1353/ces.2015.0012","title":"Healing the Wounds: Rebuilding Sri Lanka after the War ed. by Dhammika Herath and K. T. Silva (review)","year":2015,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sri lanka; Ancient history; Humanities; History; Traditional medicine; Political science; Medicine; Art; South asia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381173,0.001803414,0.002300482,0.002659081,0.0006942929,0.00322451,0.001423302,0.002172142,0.01007132],"category_scores_gemma":[0.002187892,0.0007010738,0.001291397,0.004798559,0.0009490289,0.003557732,0.001502791,0.003488536,0.005042284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241813,"about_ca_system_score_gemma":0.004092792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004923765,"about_ca_topic_score_gemma":0.007674505,"domain_scores_codex":[0.9991888,0.0002234629,0.0001203772,0.000118128,0.0002672746,0.00008190971],"domain_scores_gemma":[0.9988324,0.0004043286,0.0002361988,0.00002091497,0.0003824583,0.0001236651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009804608,0.0000686885,0.0003964041,0.06269368,0.0002332338,0.0003277638,0.000686563,0.0001691182,0.000558841,0.001438243,0.4595241,0.4738054],"study_design_scores_gemma":[0.00003439323,0.0001340158,0.002420258,0.03171731,0.0001713802,0.001922704,0.0008066125,0.00004474401,0.000167411,0.0005666058,0.9619623,0.0000522581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003974764,0.9974106,0.0000231031,0.001138699,0.0009662569,0.000008436877,0.00001585346,0.000003906759,0.0003933216],"genre_scores_gemma":[0.0002769292,0.9975246,0.00004954604,0.000838318,0.0005969558,0.00001474207,0.0000366003,0.000002460122,0.0006599326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01007132,"threshold_uncertainty_score":0.033692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164031354227475,"score_gpt":0.3955158084357638,"score_spread":0.2791126730130162,"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."}}