{"id":"W4415983326","doi":"10.1017/s1816383125100763","title":"Enabling access or automating empathy? Using chatbots to support GBV survivors in conflicts and humanitarian emergencies","year":2025,"lang":"en","type":"article","venue":"International Review of the Red Cross","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Psychosocial; Mental health; Chatbot; Humanitarian aid; Feeling; Poison control; Health care; Psychological intervention; Suicide prevention; Unintended consequences","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007201205,0.0001172806,0.0002528352,0.0001647887,0.0000914488,0.00008437879,0.0006434505,0.00004089175,0.0005104357],"category_scores_gemma":[0.0006700465,0.00008964577,0.0001018912,0.0003741115,0.00006913311,0.0002289252,0.0004420679,0.0001105309,0.0000138008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391581,"about_ca_system_score_gemma":0.00006352244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009995697,"about_ca_topic_score_gemma":0.000935466,"domain_scores_codex":[0.9984369,0.0000939763,0.0008146063,0.0002319308,0.000221905,0.0002007303],"domain_scores_gemma":[0.9991642,0.0001106367,0.000274356,0.0002527965,0.0001521133,0.00004590346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007960373,0.002521684,0.3132913,0.03979803,0.001345499,0.000141424,0.01755571,0.0002770469,0.001220597,0.2016324,0.008469168,0.412951],"study_design_scores_gemma":[0.0022939,0.0004781627,0.7716357,0.115728,0.0001360056,0.0001331323,0.002135981,0.0007868041,0.003078067,0.008632081,0.09413356,0.0008286912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740313,0.003436408,0.000147135,0.002747383,0.003493963,0.0007576608,0.00008419069,0.00002401109,0.01527799],"genre_scores_gemma":[0.9931459,0.0001781648,0.0001142921,0.00140875,0.00003542352,0.00006496112,0.000008317539,0.00001178521,0.005032336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4583443,"threshold_uncertainty_score":0.5588912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120972659141699,"score_gpt":0.5126029486164393,"score_spread":0.3916302894747403,"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."}}