{"id":"W6887781678","doi":"10.17722/ijme.v13i1.560","title":"Prevention of Human Trafficking with AMP Model with based vilage education","year":2019,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Sex work and related issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Human trafficking","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002821753,0.0003277436,0.0002693874,0.0005381707,0.0006443215,0.0004728612,0.0007652114,0.0006831015,0.01950108],"category_scores_gemma":[0.000862487,0.00008579481,0.0004823964,0.0001628393,0.0002537895,0.0005096017,0.0009023934,0.0006491956,0.001289213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266763,"about_ca_system_score_gemma":0.001064518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135825,"about_ca_topic_score_gemma":0.001740168,"domain_scores_codex":[0.9997948,0.00004739556,0.000008877947,0.00002349723,0.00006891754,0.00005663009],"domain_scores_gemma":[0.9998026,0.00004483828,0.00004035886,0.00001638417,0.00004099277,0.000054795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00166979,0.032643,0.03891164,0.002413763,0.00006799636,0.00202382,0.002695824,0.002711733,0.01849651,0.007504263,0.01648274,0.8743789],"study_design_scores_gemma":[0.001313182,0.08230844,0.3361319,0.01167323,0.001061408,0.01508135,0.02973958,0.02121985,0.08625603,0.02681212,0.3880987,0.0003041819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196616,0.004371078,0.01184381,0.004612804,0.000606293,0.001196248,0.0003717835,0.0004660673,0.05687037],"genre_scores_gemma":[0.9485657,0.003499121,0.01052744,0.0006474465,0.000112782,0.0003493652,0.0001803417,0.00001805214,0.03609984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01950108,"threshold_uncertainty_score":0.06523764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502514514969819,"score_gpt":0.3177668765734449,"score_spread":0.3027417314237467,"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."}}