{"id":"W7019329486","doi":"","title":"Handbook - TRACE-ing human trafficking: Handbook for policy makers, law enforcement agencies and civil society organisations","year":2016,"lang":"en","type":"report","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"European Commission","keywords":"Law enforcement; Human trafficking; Organised crime; Context (archaeology); Civil society","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":[0.006440656,0.001850686,0.001141507,0.005475643,0.001879304,0.00700981,0.003503745,0.004344462,0.03016615],"category_scores_gemma":[0.02140887,0.001724188,0.0006207334,0.006772034,0.00128398,0.00820301,0.004358995,0.00450127,0.04601144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003114071,"about_ca_system_score_gemma":0.02678182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216007,"about_ca_topic_score_gemma":0.03157678,"domain_scores_codex":[0.9936424,0.001007528,0.001005485,0.0003006836,0.003649498,0.0003942462],"domain_scores_gemma":[0.9699036,0.008407311,0.001490692,0.001596494,0.01657816,0.002023729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001327797,0.0001472336,0.0003873803,0.0004374652,0.000002438214,0.00007688455,0.0006989224,0.0003844994,0.0002946403,0.003680457,0.8995577,0.09431916],"study_design_scores_gemma":[0.000003176661,0.00001545882,0.0005487571,0.0006830806,0.000001839115,0.0001304874,0.0008409162,0.00007781921,0.0001345801,0.001122021,0.9964287,0.00001321678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004229023,0.05312828,0.04737313,0.06417203,0.01561903,0.008804422,0.041014,0.01613597,0.7495241],"genre_scores_gemma":[0.0082183,0.07333533,0.08037168,0.009696581,0.001537584,0.004981562,0.03968138,0.003077586,0.7791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03016615,"threshold_uncertainty_score":0.1009158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06868967377643606,"score_gpt":0.334086448843359,"score_spread":0.2653967750669229,"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."}}