{"id":"W4224282900","doi":"10.1177/14773708221092314","title":"Crossing borders: Does it matter? Differences between (near-)domestic and cross-border sex traffickers, their victims and modus operandi","year":2022,"lang":"en","type":"article","venue":"European Journal of Criminology","topic":"Sex work and related issues","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Wetenschappelijk Onderzoek- en Documentatiecentrum","keywords":"Sex trafficking; Criminology; Sample (material); Service (business); Coercion (linguistics); Organised crime; Border crossing; Psychology; Business; Demographic economics; Political science; Computer security; Law; Politics; Human trafficking; Economics; Computer science; Marketing","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":[0.002005286,0.0002063583,0.0006061135,0.001030066,0.0009560206,0.002350942,0.0008794034,0.0009788325,0.006336588],"category_scores_gemma":[0.01522934,0.0002213273,0.0004056818,0.0009721785,0.002424294,0.003048578,0.001551444,0.00130171,0.0004724595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205396,"about_ca_system_score_gemma":0.000725137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006746754,"about_ca_topic_score_gemma":0.006552261,"domain_scores_codex":[0.9982046,0.0004934437,0.0001246736,0.0003560544,0.0003378547,0.0004834005],"domain_scores_gemma":[0.9933809,0.00238402,0.002667346,0.0003008594,0.0003380344,0.0009288597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001899979,0.0001639328,0.9684352,0.00008009611,0.00009428732,0.0004458949,0.01188539,0.00007608586,0.0001340182,0.002292063,0.0007254343,0.0154777],"study_design_scores_gemma":[0.000007265111,0.0001168935,0.9652033,0.0002137948,0.00006327572,0.0005023464,0.03051476,0.0001685947,0.00005884894,0.001735184,0.001395314,0.00002022755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956244,0.0008378705,0.0000894121,0.0009366761,0.00003083659,0.000008514258,0.00004440214,0.000001661384,0.002426344],"genre_scores_gemma":[0.999189,0.0003215645,0.00003293473,0.00009209172,0.00002464725,0.000006028966,0.00003841305,0.000003152212,0.000292131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006746754,"threshold_uncertainty_score":0.02119803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861496272254268,"score_gpt":0.3612921191699958,"score_spread":0.3226771564474532,"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."}}