{"id":"W7164891589","doi":"10.1080/17153379.2023.12558396","title":"Pathways for Irregular Forces in Southeast Asia: Mitigating Violence with Non-State Armed Groups.","year":2023,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Southeast asia; Human trafficking","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181515,0.0003236141,0.0001771896,0.0009347537,0.003262581,0.00259607,0.0009755028,0.0009435207,0.01379848],"category_scores_gemma":[0.004005964,0.0002069536,0.0003239972,0.0007837296,0.0008971363,0.001914473,0.004479496,0.002083403,0.0006928926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002367557,"about_ca_system_score_gemma":0.01777494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06297786,"about_ca_topic_score_gemma":0.1849877,"domain_scores_codex":[0.9991525,0.0004105694,0.00001977166,0.00004049696,0.0000443066,0.0003322986],"domain_scores_gemma":[0.9980273,0.0002086373,0.0003205569,0.00004475686,0.0002312686,0.001167489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003234272,0.001512644,0.4994192,0.001136535,0.0003042086,0.00144909,0.05537455,0.00179611,0.0008169027,0.07107552,0.05491702,0.3118748],"study_design_scores_gemma":[0.0001004971,0.0007437782,0.4824887,0.004629837,0.0003624381,0.0006902438,0.3203105,0.002844969,0.0008951576,0.04330279,0.1435591,0.00007195493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7332227,0.00960268,0.003236078,0.1327955,0.0006472932,0.0005706332,0.001312532,0.0001080368,0.1185045],"genre_scores_gemma":[0.9838193,0.00556089,0.001446864,0.00236999,0.00005631261,0.0002036935,0.0002484114,0.00001464607,0.006279903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06297786,"threshold_uncertainty_score":0.1252226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774524678174818,"score_gpt":0.2420128817461844,"score_spread":0.2242676349644362,"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."}}