{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000363161,0.0005359601,0.0004732154,0.00003472856,0.0007314402,0.0006336731,0.0006400635,0.0001853461,0.002871447],"category_scores_gemma":[0.00007341049,0.0002333095,0.000331153,0.0007508821,0.00008467985,0.0005737954,0.0004572879,0.0005159268,0.0005882853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417031,"about_ca_system_score_gemma":0.00006601974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002882441,"about_ca_topic_score_gemma":0.004820162,"domain_scores_codex":[0.996488,0.0002320779,0.0006406818,0.0008566821,0.0008125116,0.0009700122],"domain_scores_gemma":[0.9986476,0.0001191346,0.0002503179,0.0001880992,0.0002791849,0.0005156598],"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":[0.0001273102,0.0008981398,0.03329062,0.0001047942,0.0004035044,0.001838751,0.0007247718,0.00002037126,0.1170822,0.00228011,0.06118153,0.7820479],"study_design_scores_gemma":[0.0004020071,0.0001969754,0.3256019,0.00007485814,0.00005082412,0.0001521051,0.00089787,0.00002237673,0.005553316,0.0001624532,0.6662046,0.0006807114],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669967,0.0005004261,0.000005274278,0.007864824,0.0009338518,0.000756514,0.00004764704,0.0003341156,0.02256059],"genre_scores_gemma":[0.9654807,0.0003472166,0.001204403,0.001428632,0.001092806,0.0001123838,0.0005306513,0.000008336061,0.02979484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7813672,"threshold_uncertainty_score":0.9980401,"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."}}