{"id":"W4385572611","doi":"10.31092/jaa.v2i2.1836","title":"DAMPAK PEMBANGUNAN SENTRA IKM MENGGUNAKAN DANA ALOKASI KHUSUS (DAK) TERHADAP BANYAKNYA INDUSTRI KECIL MENENGAH DI INDONESIA","year":2022,"lang":"id","type":"article","venue":"JURNAL ACITYA ARDANA","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Geography","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":[0.001178102,0.0004891024,0.0003665438,0.0008297959,0.00133478,0.002492021,0.0008515822,0.0005580016,0.03362862],"category_scores_gemma":[0.001449946,0.0003058728,0.0005263371,0.001082329,0.0006278735,0.001460195,0.002000541,0.001355951,0.006163676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217062,"about_ca_system_score_gemma":0.005621126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591167,"about_ca_topic_score_gemma":0.03660944,"domain_scores_codex":[0.9991954,0.0001272618,0.00005163946,0.0001668485,0.0002995344,0.000159288],"domain_scores_gemma":[0.9989135,0.0001724046,0.0001341078,0.0001216112,0.0004443348,0.0002140674],"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":[0.001085921,0.001847168,0.08879738,0.003511945,0.0002121146,0.0007616151,0.007566199,0.003179142,0.0309859,0.02224748,0.06166526,0.7781399],"study_design_scores_gemma":[0.0001071651,0.0008304759,0.2763947,0.001068486,0.0002647039,0.0004061166,0.008784906,0.002299452,0.02426422,0.008684156,0.6767784,0.0001172227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4488248,0.007388576,0.0254165,0.01276013,0.001242663,0.001023974,0.008396309,0.001951864,0.4929952],"genre_scores_gemma":[0.6684093,0.004896958,0.02623758,0.001404766,0.0001559206,0.0007196932,0.003498817,0.0005240046,0.294153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03362862,"threshold_uncertainty_score":0.1124989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006557387421628,"score_gpt":0.2096284845438127,"score_spread":0.1795629106695964,"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."}}