{"id":"W2960883029","doi":"10.17722/ijme.v13i1.1091","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":"Legal and Social Justice Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Action (physics); Literacy; Human trafficking; Process (computing); Economic growth; Public relations; Sociology; Business; Political science; Criminology; Pedagogy; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004183034,0.00006945542,0.0001208657,0.0001394748,0.0001059714,0.00004580287,0.0003489262,0.0000217929,0.00007900004],"category_scores_gemma":[0.00001470687,0.00005351774,0.0000560078,0.0001141147,0.0001025293,0.0003169763,0.00002705896,0.00008031869,0.00000453249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112919,"about_ca_system_score_gemma":0.0002066487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001112829,"about_ca_topic_score_gemma":0.0002954735,"domain_scores_codex":[0.9986463,0.00005148707,0.0002321516,0.00009542007,0.0008747547,0.00009986312],"domain_scores_gemma":[0.9989229,0.00003638911,0.0004145334,0.00006323797,0.0005286721,0.00003430603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.002460129,0.005230013,0.0628145,0.0009858169,0.002743962,0.0001095978,0.1134033,0.1456559,0.003239429,0.5309775,0.005518236,0.1268616],"study_design_scores_gemma":[0.02976872,0.008536251,0.09942429,0.026125,0.003887164,0.00004842315,0.5986125,0.01438096,0.004407778,0.05920482,0.1511513,0.004452791],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783885,0.00007895847,0.01564772,0.001666176,0.0004901525,0.0002652868,0.000001382654,0.00001263755,0.1034492],"genre_scores_gemma":[0.9907171,0.0001031612,0.003366483,0.00008812531,0.0001480763,0.000003642613,0.000001531825,0.000005598642,0.005566312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4852092,"threshold_uncertainty_score":0.218239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018144684764336,"score_gpt":0.3250048951551295,"score_spread":0.3068602103907935,"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."}}