{"id":"W3215568199","doi":"10.37695/pkmcsr.v4i0.1239","title":"PERANCANGAN ULANG PROSES UNTUK MEREDUKSI WAKTU PROSES DAN MENINGKATKAN KAPASITAS PRODUKSI YANG LEBIH EFEKTIF AGAR DAPAT MENINGKATKAN PENDAPATAN PENGRAJ","year":2021,"lang":"id","type":"article","venue":"Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR)","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Humanities; Horticulture; Art; Biology","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.007156275,0.003187933,0.003482222,0.0008615676,0.007056556,0.002790671,0.002572064,0.001460148,0.000963317],"category_scores_gemma":[0.00412455,0.003297665,0.001613078,0.004040185,0.002891105,0.002498191,0.004008744,0.003880406,0.0007729171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003085139,"about_ca_system_score_gemma":0.002832214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006187825,"about_ca_topic_score_gemma":0.002790978,"domain_scores_codex":[0.9753416,0.005578725,0.003633847,0.006410167,0.004813368,0.00422232],"domain_scores_gemma":[0.9895715,0.001542435,0.003059077,0.002859822,0.001141906,0.001825335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006550619,0.004259313,0.1223373,0.003142238,0.001619694,0.003792107,0.02059307,0.0004579406,0.7909773,0.00761783,0.007882023,0.03077055],"study_design_scores_gemma":[0.01117163,0.002511968,0.2387276,0.004161319,0.002974704,0.0005483944,0.0498824,0.003060185,0.6096956,0.007079419,0.05817338,0.01201346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976877,0.001777322,0.0000774438,0.004546128,0.002815781,0.005775068,0.0007250994,0.0007799848,0.006626188],"genre_scores_gemma":[0.9692869,0.000352672,0.00375791,0.0005964565,0.001774549,0.0003692363,0.001858499,0.0005852877,0.02141846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1812817,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05538722524134592,"score_gpt":0.2664410581238795,"score_spread":0.2110538328825336,"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."}}