{"id":"W4315782462","doi":"10.7590/266644722x16710255213783","title":"Preventing Human Trafficking of Refugees from Ukraine: a Rapid Assessment of Risks and Gaps in the Anti-Trafficking Response","year":2022,"lang":"en","type":"article","venue":"Journal of Human Trafficking Enslavement and Conflict-Related Sexual Violence","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Human trafficking; Refugee; Ukrainian; Political science; Accountability; Identification (biology); Economic growth; Business; Criminology; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007835804,0.0004175061,0.0005134331,0.001921724,0.001780789,0.002885442,0.0008873338,0.001088713,0.002469416],"category_scores_gemma":[0.008514008,0.0002595598,0.0004216844,0.0009280183,0.0007705571,0.002894268,0.004836825,0.001025292,0.0003274491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002596737,"about_ca_system_score_gemma":0.01385293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006435337,"about_ca_topic_score_gemma":0.01040396,"domain_scores_codex":[0.9956195,0.001991587,0.0004122978,0.0002001906,0.001075158,0.0007011897],"domain_scores_gemma":[0.9943697,0.001739735,0.001345459,0.0002324709,0.001871611,0.0004411505],"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":[0.0004349591,0.000514725,0.3335148,0.006402369,0.0002378624,0.005059803,0.1111473,0.006911242,0.005398454,0.01569475,0.007786809,0.506897],"study_design_scores_gemma":[0.00001693528,0.001475385,0.3587714,0.007539934,0.0001764896,0.003152203,0.4930209,0.003428277,0.005633036,0.01033567,0.1162908,0.000159051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918456,0.01401296,0.007956855,0.02270439,0.0002398643,0.0009262373,0.0008675054,0.0001457732,0.03469031],"genre_scores_gemma":[0.9785953,0.009006708,0.008584042,0.0007353644,0.00003235218,0.0002675308,0.000318412,0.00001244308,0.002447847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007835804,"threshold_uncertainty_score":0.04144019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743003973794142,"score_gpt":0.3424258563471822,"score_spread":0.2949958166092408,"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."}}