{"id":"W4211159348","doi":"10.31949/jb.v2i3.1199","title":"PENDAMPINGAN PROGRAM PENGENDALIAN INFLASI DAERAH PADA KLASTER CABAI MERAH","year":2021,"lang":"en","type":"article","venue":"BERNAS Jurnal Pengabdian Kepada Masyarakat","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agricultural economics; Inflation (cosmology); Distribution (mathematics); Business; Food supply; Agricultural science; Economics; Geography; Environmental science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002477593,0.0001390694,0.00009627394,0.000170339,0.0008901088,0.0006658835,0.0003446029,0.0002236721,0.01860266],"category_scores_gemma":[0.0002552784,0.00009759788,0.00007505364,0.0002133043,0.0002215427,0.0002662186,0.0007602655,0.0004810693,0.001301892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484855,"about_ca_system_score_gemma":0.005775858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03124721,"about_ca_topic_score_gemma":0.07035996,"domain_scores_codex":[0.9998915,0.00001477236,0.000003429142,0.00001744481,0.00001597425,0.00005682693],"domain_scores_gemma":[0.99983,0.00001343289,0.00001420717,0.000008070868,0.00002880504,0.0001054692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008927427,0.001989579,0.1331312,0.001606319,0.0000350757,0.003116798,0.007074124,0.001306847,0.0402473,0.02060124,0.08536167,0.7046371],"study_design_scores_gemma":[0.0001341853,0.0005627961,0.378017,0.0002753868,0.00003738799,0.0009706006,0.01040155,0.001678626,0.005754673,0.001433932,0.6007065,0.00002731678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7601788,0.001689508,0.00255463,0.006009524,0.0003612202,0.0005652954,0.002352324,0.000381222,0.2259075],"genre_scores_gemma":[0.7832705,0.001799137,0.006113654,0.001031232,0.0000360683,0.0003440216,0.001695644,0.00006652032,0.2056434],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03124721,"threshold_uncertainty_score":0.06223214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778336900479616,"score_gpt":0.2215127078538755,"score_spread":0.2037293388490793,"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."}}