{"id":"W2955349785","doi":"10.5038/1911-9933.13.2.1701","title":"Buying Peace or Building Peace: Rethinking Non-Coercive Approach to the Management of Non-State Armed Groups involved in Mass Atrocity","year":2019,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amnesty; State (computer science); Political science; Impunity; Political economy; Law; Genocide; Sociology; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002019865,0.0001402655,0.0002859402,0.00006116572,0.0004317846,0.00005279238,0.000224482,0.00006142027,0.000003338807],"category_scores_gemma":[0.00003196457,0.0001069189,0.00008234108,0.0004026489,0.00008870272,0.0001584449,0.0002483863,0.0001642457,0.000004033934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583865,"about_ca_system_score_gemma":0.00002920977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000978,"about_ca_topic_score_gemma":0.004976687,"domain_scores_codex":[0.9985091,0.0001846786,0.0002975917,0.0003123237,0.0003430342,0.0003532874],"domain_scores_gemma":[0.9994708,0.00007019209,0.0001623826,0.0001619036,0.00008626112,0.00004845395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004972199,0.00006964344,0.01293022,0.002971187,0.001249545,0.00001914055,0.8714479,0.005243535,0.001260609,0.0155462,0.00156095,0.0872038],"study_design_scores_gemma":[0.002169129,0.0003345567,0.0830779,0.001654238,0.0002836962,0.000001349688,0.786991,0.002092741,0.00006123766,0.1167118,0.00587032,0.0007520948],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741781,0.002053936,0.01742957,0.0007201128,0.0002785305,0.001411137,0.000004031145,0.00002016165,0.003904442],"genre_scores_gemma":[0.9607446,0.007288588,0.0304391,0.00009906878,0.00006009574,0.00004474199,0.000005133526,0.000009537336,0.001309123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011656,"threshold_uncertainty_score":0.4360028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455761668538744,"score_gpt":0.3272409646327878,"score_spread":0.2926833479474004,"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."}}