{"id":"W7075691626","doi":"","title":"How Does the Short-Term Training Program Contribute to Skills Development in Bangladesh? : A Tracer Study of the Short-Term Training Graduates","year":2016,"lang":"en","type":"report","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Government (linguistics); Cornerstone; Training (meteorology); Modalities; Psychological intervention; Private sector; Soft skills; Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002041594,0.001100272,0.001653497,0.0002893965,0.001115636,0.0009844607,0.003502317,0.0001197362,0.00009366304],"category_scores_gemma":[0.00005272238,0.0005064097,0.0006018878,0.001340877,0.0005386196,0.0002883015,0.001699099,0.001299465,0.00001474021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235115,"about_ca_system_score_gemma":0.001808165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000799975,"about_ca_topic_score_gemma":0.002090198,"domain_scores_codex":[0.9936565,0.0009857134,0.001695724,0.001235852,0.001318575,0.001107688],"domain_scores_gemma":[0.9953073,0.001423701,0.0007037445,0.001506219,0.0008192992,0.0002397958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002914079,0.005716471,0.03975621,0.0002373689,0.003055675,0.00005431669,0.04138028,0.00007903987,0.0005703456,0.01767083,0.003964908,0.8872231],"study_design_scores_gemma":[0.007094249,0.001235728,0.4571027,0.01711039,0.003745238,0.0001173768,0.01512847,0.0002664863,0.01805973,0.03158831,0.4409375,0.007613854],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7445605,0.0009421693,0.0003193361,0.003467596,0.005839649,0.02023368,0.0002746606,0.0002286018,0.2241338],"genre_scores_gemma":[0.942872,0.00000377818,0.0001245328,0.0000295261,0.002234254,0.00253795,0.00005456306,0.0001457008,0.05199771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8796093,"threshold_uncertainty_score":0.9997388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699305186106789,"score_gpt":0.3175167661325444,"score_spread":0.2805237142714765,"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."}}