{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004334231,0.0002802272,0.0005500238,0.0001886993,0.0005184253,0.00005286544,0.0006345825,0.000104023,0.0004386955],"category_scores_gemma":[0.00006712929,0.0002037395,0.0001178279,0.0003125461,0.0006494446,0.0001770007,0.000408957,0.0009100314,5.517372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236377,"about_ca_system_score_gemma":0.0000265315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002142786,"about_ca_topic_score_gemma":0.00003135512,"domain_scores_codex":[0.9958385,0.0009874352,0.001256913,0.0004202878,0.001084739,0.0004121577],"domain_scores_gemma":[0.9979226,0.0006776392,0.001021658,0.0002479184,0.00002269215,0.0001075122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003185706,0.001086155,0.1407181,0.00007034669,0.0001843982,0.000171111,0.01265486,0.008839528,0.7896741,0.0001894921,0.00004019037,0.04605319],"study_design_scores_gemma":[0.002840218,0.004920162,0.9696088,0.0006560441,0.0001318045,0.00008979518,0.01223567,0.001538528,0.006171979,0.0002069564,0.001138093,0.000461964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975505,0.001693213,0.000008556029,0.0001487229,0.00006050144,0.0003609697,0.00001792851,0.00001319277,0.0001464389],"genre_scores_gemma":[0.9991388,0.0005613089,0.0001096504,0.00009331595,0.00003110383,0.00001400933,0.00001069732,0.00001680948,0.00002434448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8288907,"threshold_uncertainty_score":0.8308254,"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."}}