{"id":"W2506584108","doi":"10.53386/nilq.v67i1.96","title":"Justice, truth and oral history: legislating the past ‘from below’ in Northern Ireland","year":2018,"lang":"en","type":"article","venue":"Northern Ireland Legal Quarterly","topic":"Irish and British Studies","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Queen's University Belfast","keywords":"Transitional justice; Politics; Political science; Scholarship; Legislation; Law; Context (archaeology); Economic Justice; Human rights; Sociology; Public administration","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005574577,0.0002162705,0.0002911435,0.00006680635,0.0009790316,0.000182904,0.0002839705,0.0001450547,0.00008740529],"category_scores_gemma":[0.0001075352,0.0001656934,0.00006877218,0.0002085043,0.0008480911,0.0003435996,0.00002957974,0.0003247724,0.0001003926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190516,"about_ca_system_score_gemma":0.0001655198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06682895,"about_ca_topic_score_gemma":0.6513637,"domain_scores_codex":[0.9980446,0.000270608,0.000318223,0.0004007389,0.000406033,0.0005598646],"domain_scores_gemma":[0.9990873,0.000307452,0.0001414614,0.0002076117,0.0001314383,0.0001247127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007999493,0.00007051695,0.8354793,0.00001479576,0.00005362524,0.00006370163,0.09497456,9.784644e-7,0.000008353359,0.0002378756,0.009201811,0.05981455],"study_design_scores_gemma":[0.001891102,0.0007198458,0.474171,0.0001105784,0.0001674502,0.00001182087,0.03850836,0.0001421949,9.098513e-7,0.0007932728,0.4828404,0.0006431287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048021,0.001673798,0.00001983323,0.001584671,0.001036269,0.0002163817,0.00001759515,0.0000712867,0.09057804],"genre_scores_gemma":[0.9957395,0.0000493282,0.00004650059,0.0002449851,0.00201163,0.00002019951,0.00000914757,0.00002412012,0.001854594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5845348,"threshold_uncertainty_score":0.9393851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939763389519965,"score_gpt":0.2629540695082155,"score_spread":0.2435564356130159,"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."}}