{"id":"W4411765529","doi":"10.1007/978-981-96-3857-4_9","title":"Applying a Disaster Justice Lens to LGBTQ+ Refugees in Complex Humanitarian Emergencies","year":2025,"lang":"en","type":"book-chapter","venue":"Sustainable development goals series","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Refugee; Political science; Criminology; Lens (geology); Sociology; Computer security; Computer science; Engineering; Law","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005401433,0.0007058569,0.0008193016,0.001000183,0.0007208005,0.0001195914,0.0004651501,0.0004463639,0.00497363],"category_scores_gemma":[0.0001037295,0.0007632941,0.00009789078,0.0002634708,0.0001050441,0.0002982051,0.0003179602,0.0005026151,0.0005878875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006891764,"about_ca_system_score_gemma":0.0009986706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005242233,"about_ca_topic_score_gemma":0.007753058,"domain_scores_codex":[0.996074,0.00008060868,0.001231258,0.00093443,0.0004013228,0.001278387],"domain_scores_gemma":[0.9983427,0.0001037122,0.0002704071,0.0006313684,0.0004434274,0.0002083937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003061696,0.00007082535,0.0003103883,0.002534414,0.0001674027,0.0003026541,0.0511417,0.00001004697,0.000003463329,0.8081729,0.1336307,0.003349304],"study_design_scores_gemma":[0.0003761367,0.0001047141,0.004976817,0.0002514203,0.00007251031,0.000008637017,0.05413046,5.948417e-7,0.000006903893,0.008309825,0.9310443,0.000717652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00277663,0.001486542,0.0002316582,0.001162361,0.0007352188,0.003615644,0.000058043,0.0001934712,0.9897404],"genre_scores_gemma":[0.009138132,0.0001029753,0.001712189,0.001460359,0.0002034049,0.00177063,0.000503762,0.00009406994,0.9850145],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7998631,"threshold_uncertainty_score":0.9994818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03475018628951061,"score_gpt":0.3116205531780226,"score_spread":0.276870366888512,"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."}}