{"id":"W6995688230","doi":"","title":"PERAN LEMBAGA SIMPAN PINJAM PEREMPUAN (SPP) DALAM
\\nMENINGKATKAN PEREKONOMIAN ANGGOTA MASYARAKAT 
\\nDI DESA RANAH SUNGKAI KECAMATAN XIII 
\\nKOTO KAMPAR DITINJAU MENURUT 
\\nEKONOMI SYARIAH","year":2018,"lang":"id","type":"dissertation","venue":"Analisis Harga Pokok Produksi Rumah Pada (UIN Syarif Hidayatullah Jakarta)","topic":"Local Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Distribution (mathematics); Statistical analysis; Gini coefficient","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.007333344,0.007203474,0.008045607,0.002462369,0.009859715,0.005677717,0.008525597,0.005234113,0.01011754],"category_scores_gemma":[0.002825549,0.007607628,0.003667464,0.0057597,0.003477,0.004700174,0.001621194,0.005306065,0.005826544],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00518879,"about_ca_system_score_gemma":0.008073365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06853001,"about_ca_topic_score_gemma":0.1961937,"domain_scores_codex":[0.9613311,0.003569064,0.007891146,0.01001707,0.008067547,0.009124108],"domain_scores_gemma":[0.9769518,0.001266646,0.006787089,0.006465128,0.003309685,0.005219704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008371897,0.006874325,0.3541909,0.004721403,0.01124767,0.001611151,0.2068875,0.0004658368,0.01125174,0.007131338,0.3576557,0.02959051],"study_design_scores_gemma":[0.01152271,0.002833933,0.2624908,0.004837742,0.00379107,0.0001442893,0.0795761,0.0007432954,0.01582575,0.001004379,0.6020658,0.01516417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120848,0.005542934,0.00009241627,0.005672654,0.01058045,0.008729414,0.001905421,0.001376452,0.05401549],"genre_scores_gemma":[0.9129412,0.005662741,0.0007068255,0.002364033,0.008006642,0.001558899,0.01100723,0.001387825,0.05636467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2444101,"threshold_uncertainty_score":0.999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713925735138931,"score_gpt":0.2745737298279948,"score_spread":0.2574344724766055,"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."}}