{"id":"W4415492933","doi":"10.1177/00223433251360200","title":"Introducing the Transitional Justice Evaluation Tools (TJET) database","year":2025,"lang":"en","type":"article","venue":"Journal of Peace Research","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Global Affairs Canada","keywords":"Vetting; Amnesty; Transitional justice; Economic Justice; Descriptive statistics; Workflow; Democracy; Table (database)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007270459,0.0006218271,0.0007609631,0.01039494,0.0009617868,0.005726263,0.002149211,0.00101542,0.01458973],"category_scores_gemma":[0.04349547,0.0005572341,0.0008508303,0.01288003,0.000537952,0.004800051,0.005161376,0.001735119,0.00780456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009908,"about_ca_system_score_gemma":0.003228548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137841,"about_ca_topic_score_gemma":0.009970118,"domain_scores_codex":[0.9930906,0.001936406,0.001943818,0.0009569142,0.001738026,0.0003343781],"domain_scores_gemma":[0.9775729,0.008433458,0.002753966,0.005345251,0.004494723,0.001399711],"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":[0.0004566307,0.0002822535,0.02276276,0.001986789,0.0001898406,0.0003230051,0.001274325,0.00831772,0.0007987182,0.05537442,0.7744612,0.1337723],"study_design_scores_gemma":[0.0001547904,0.0000794333,0.01780168,0.0009396338,0.00005973042,0.0001700403,0.00159408,0.01792276,0.002205741,0.04106469,0.917845,0.0001624154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01186399,0.0007122727,0.03952947,0.001672891,0.0002187116,0.001197518,0.9098981,0.01728693,0.01762017],"genre_scores_gemma":[0.05194247,0.0005665076,0.06459421,0.000484922,0.00009439515,0.002932713,0.8733765,0.001712391,0.004295843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01458973,"threshold_uncertainty_score":0.0488075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220641475237744,"score_gpt":0.5116347778872299,"score_spread":0.2909933026494859,"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."}}