{"id":"W4293213255","doi":"10.56354/jendelainovasi.v5i2.128","title":"ANALISIS DAYA SAING KOPI INDONESIA (STUDI KASUS: EKSPOR KE JERMAN)","year":2022,"lang":"en","type":"article","venue":"Jurnal Jendela Inovasi Daerah","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Indonesian; Revealed comparative advantage; Value (mathematics); Agricultural economics; Order (exchange); Agricultural science; Business; Exchange rate; Ordinary least squares; Economics; Comparative advantage; International trade; Economy; Mathematics; Monetary economics; Statistics; Econometrics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006145564,0.0003718946,0.0004360281,0.0004924433,0.00103947,0.000420196,0.0008098396,0.00007221639,0.001069451],"category_scores_gemma":[0.00003231988,0.0003831913,0.0002700018,0.001511183,0.00006732733,0.001045629,0.0008178949,0.0006238748,0.0001994468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881491,"about_ca_system_score_gemma":0.00007552232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000616945,"about_ca_topic_score_gemma":0.00007722836,"domain_scores_codex":[0.9972064,0.00004970462,0.0005743291,0.0005648516,0.0009470064,0.0006576478],"domain_scores_gemma":[0.9988984,0.00005281946,0.0003784682,0.0004273459,0.0002002361,0.00004266051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000290935,0.000688439,0.6960872,0.000242939,0.0003999865,0.00108431,0.0002083245,0.001379557,0.0007530302,0.2787367,0.009975289,0.01015336],"study_design_scores_gemma":[0.001571295,0.00004904219,0.5124893,0.00006652221,0.0001806164,0.0001158941,0.0025205,0.0005431899,0.00006186101,0.001504023,0.480166,0.0007317274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936157,0.0004849184,0.0001336031,0.001664035,0.001359548,0.0002942958,0.00002740586,0.0002451101,0.05963406],"genre_scores_gemma":[0.9921718,0.00002428871,0.00005668613,0.005538937,0.001774268,0.0000781407,0.0001087441,0.000055043,0.0001920798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4701908,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140183973196909,"score_gpt":0.2209068918182515,"score_spread":0.1995050520862824,"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."}}