{"id":"W4388834564","doi":"10.1093/oxfordhb/9780198704355.013.32","title":"The Data of Transitional Justice","year":2023,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scrutiny; Status quo; Transitional justice; Political science; Economic Justice; Field (mathematics); Public relations; Engineering ethics; Sociology; Law and economics; Data science; Law; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004123437,0.0001073327,0.0001534078,0.00003057352,0.001217615,0.00002203688,0.001051724,0.0002467544,0.00003690473],"category_scores_gemma":[0.00002271599,0.0001115811,0.0001378479,0.000009039657,0.0009921766,0.00008247357,0.000219883,0.000261065,0.000001939561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170095,"about_ca_system_score_gemma":0.000339975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271331,"about_ca_topic_score_gemma":0.001060544,"domain_scores_codex":[0.9990574,0.000059491,0.0001079624,0.0002341364,0.0003762604,0.0001648153],"domain_scores_gemma":[0.9988754,0.0003324941,0.0001300501,0.0004822084,0.000100179,0.00007964778],"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":[0.0000263825,0.000002526163,2.426742e-7,0.00002806471,0.00006271439,0.00001566993,0.003067298,0.000001200793,6.558337e-7,0.9684182,0.02703449,0.001342576],"study_design_scores_gemma":[0.0001081105,0.000006774429,0.000002669473,0.00003492401,0.0002387939,2.464414e-7,0.001417352,0.000007674851,4.878092e-7,0.001620509,0.9964452,0.0001172039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006412533,0.00005687682,0.00005641691,0.0001140544,0.0004133715,0.0001632013,0.0008775556,0.00006274046,0.9982494],"genre_scores_gemma":[0.0001594477,0.001396746,0.00003761165,0.00002771192,0.000189964,1.662732e-7,0.00007308219,0.00001384459,0.9981014],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9694108,"threshold_uncertainty_score":0.936503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040503898036237,"score_gpt":0.2697693126017838,"score_spread":0.1657189227981601,"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."}}