{"id":"W2908044288","doi":"10.18196/jesp.19.2.5005","title":"GROSS REGIONAL DOMESTIC PRODUCT FORECASTS USING TREND ANALYSIS: CASE STUDY OF BANGKA BELITUNG PROVINCE","year":2018,"lang":"en","type":"article","venue":"Jurnal Ekonomi & Studi Pembangunan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Tourism; Product (mathematics); Geography; Agricultural economics; Environmental science; Business; Mathematics; Economics","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":[0.0007625954,0.0003700776,0.000284964,0.001445001,0.00043556,0.0009948693,0.0005540861,0.0004637979,0.0009873507],"category_scores_gemma":[0.002012575,0.0002527428,0.0004807491,0.003940948,0.0003132274,0.0006887597,0.0004193955,0.0005900656,0.0002353209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002866258,"about_ca_system_score_gemma":0.001485485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4743657,"about_ca_topic_score_gemma":0.3788222,"domain_scores_codex":[0.9997043,0.00007115555,0.00002749968,0.00005829082,0.00006837196,0.00007031811],"domain_scores_gemma":[0.9989837,0.0004561574,0.0001426948,0.00006611876,0.0002768855,0.00007442018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004714394,0.0003172565,0.5516279,0.0003990879,0.0002453004,0.01098993,0.003385961,0.3679576,0.002437461,0.00299723,0.004630222,0.05454073],"study_design_scores_gemma":[0.0000464218,0.0001952774,0.4409418,0.000131374,0.0001408044,0.0006174412,0.01257383,0.5330307,0.00199352,0.001017362,0.00919879,0.0001126635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939296,0.0002372283,0.001099451,0.0002942818,0.00001227212,0.0000296772,0.001699516,0.00005712661,0.002640757],"genre_scores_gemma":[0.9952133,0.000377456,0.001653762,0.00001164227,0.000006159364,0.00001541177,0.00155715,0.00001262962,0.001152462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4743657,"threshold_uncertainty_score":0.9432091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07199468874285284,"score_gpt":0.2908873216124473,"score_spread":0.2188926328695945,"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."}}