{"id":"W3184829629","doi":"10.31001/tekinfo.v9i2.1182","title":"Peramalan Produksi Beras di Provinsi Jawa Tengah","year":2021,"lang":"id","type":"article","venue":"Tekinfo Jurnal Ilmiah Teknik Industri dan Informasi","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Mathematics; Exponential smoothing; Statistics","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":[0.0008159505,0.0008002978,0.0007046796,0.001100852,0.000858298,0.003425853,0.0007897926,0.0005671548,0.01549061],"category_scores_gemma":[0.001230045,0.0004773572,0.001064624,0.002155555,0.0003291988,0.001507108,0.0007466531,0.001091165,0.004081529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215222,"about_ca_system_score_gemma":0.002721145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06430946,"about_ca_topic_score_gemma":0.1022818,"domain_scores_codex":[0.9994839,0.0000570119,0.00002841138,0.0001333406,0.0002285394,0.00006881291],"domain_scores_gemma":[0.99933,0.0001353985,0.0001099193,0.00009464389,0.000247926,0.00008212114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001386356,0.0012796,0.3203076,0.001694647,0.0007301631,0.001305787,0.002339592,0.07322797,0.02490196,0.01904478,0.03930552,0.5144761],"study_design_scores_gemma":[0.0001575075,0.0009146946,0.6260582,0.0004448845,0.0005181881,0.0005936815,0.005327163,0.07737432,0.02004495,0.007861654,0.2604969,0.0002078302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7502634,0.005189359,0.03305753,0.004746287,0.0006259777,0.0004818984,0.01925323,0.001798108,0.1845842],"genre_scores_gemma":[0.8555772,0.003166768,0.01537165,0.0002741133,0.0000805774,0.0001659305,0.009444786,0.0002343699,0.1156846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06430946,"threshold_uncertainty_score":0.1278703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228511384724377,"score_gpt":0.262100055631862,"score_spread":0.2398149417846182,"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."}}