{"id":"W4411673574","doi":"10.1080/13533312.2025.2521345","title":"‘Trying to Fix What is Broken’: Experiences of Encountering Children in Armed Conflict During Military Service","year":2025,"lang":"en","type":"article","venue":"International Peacekeeping","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Lawson Health Research Institute; Dalhousie University; Centre for Addiction and Mental Health; Mount Saint Vincent University","funders":"Canadian Institute for Military and Veteran Health Research; Mount Saint Vincent University; U.S. Department of Veterans Affairs; Veterans Affairs Canada","keywords":"Military service; Armed conflict; Service (business); Political science; Peacekeeping; Psychology; Criminology; Computer security; Public administration; Law; Economics; Computer science; Economy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221405,0.0001312519,0.0001924182,0.0004325493,0.00007445821,0.00003685343,0.0003750137,0.00007363264,0.000573904],"category_scores_gemma":[0.00004599299,0.0001528319,0.00005489526,0.0003354358,0.00002443124,0.0003572897,0.00009423825,0.0001528351,0.00004485857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010415,"about_ca_system_score_gemma":0.00004386625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003359198,"about_ca_topic_score_gemma":0.001127614,"domain_scores_codex":[0.998551,0.00005004074,0.0005345764,0.0003676885,0.0002250553,0.0002716013],"domain_scores_gemma":[0.9994224,0.0000892893,0.00008651216,0.0002103834,0.0001241129,0.00006724714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005326348,0.0002548685,0.1557083,0.0002623371,0.0002843784,0.00002093909,0.8167929,0.0009155399,0.005622727,0.0011721,0.0009650948,0.01746815],"study_design_scores_gemma":[0.001477041,0.00003928804,0.8949876,0.001387743,0.000009604789,0.00002196632,0.09452423,0.0008924615,0.004369134,0.0001048376,0.001913859,0.000272174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904248,0.002018615,0.0002359804,0.002291859,0.001656045,0.0002840628,0.000009784522,0.00003475147,0.003044175],"genre_scores_gemma":[0.9951755,0.000146585,0.0001927039,0.003675697,0.0001239037,0.0001242997,0.00001741181,0.00001002915,0.000533812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7392793,"threshold_uncertainty_score":0.6283846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667771781952131,"score_gpt":0.3389285896376198,"score_spread":0.3222508718180985,"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."}}