{"id":"W4409783002","doi":"10.52103/jaf.v2i2.1062","title":"Peran Sumber Daya Manusia Dalam Upaya Peningkatan Umkm Di Kabupaten Poso","year":2022,"lang":"id","type":"article","venue":"Journal of Accounting and Finance (JAF)","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001860313,0.0005109523,0.001393649,0.0006199594,0.001088802,0.0005347405,0.0008670083,0.0002239077,0.0003068288],"category_scores_gemma":[0.0002298801,0.0006056184,0.0005057761,0.0004473148,0.0002345969,0.001141506,0.0005408096,0.001536949,0.0000793755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190812,"about_ca_system_score_gemma":0.0001704839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003269936,"about_ca_topic_score_gemma":0.00002942293,"domain_scores_codex":[0.9959168,0.00006536858,0.002237257,0.0006544478,0.000184947,0.0009411743],"domain_scores_gemma":[0.9959126,0.0001529456,0.003114367,0.0004726803,0.000133952,0.0002135072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001505509,0.0002315103,0.9775385,0.0001228393,0.0001840043,0.00008133631,0.002650639,0.0003846744,0.00003468119,0.01268219,0.003624288,0.002314801],"study_design_scores_gemma":[0.002035187,0.0005736601,0.7862783,0.0001258044,0.0000867898,0.0005909422,0.0012409,0.002415258,0.00003395123,0.002337436,0.2034252,0.0008565664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678707,0.0121711,0.00006313941,0.00255827,0.002715756,0.0001879746,0.0002874576,0.00001891748,0.01412668],"genre_scores_gemma":[0.9893695,0.004406403,0.0001240807,0.0005117902,0.001085217,0.00001172043,0.00001964112,0.00008928409,0.004382411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1998009,"threshold_uncertainty_score":0.9996395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652759255891087,"score_gpt":0.207227865724475,"score_spread":0.1907002731655641,"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."}}