{"id":"W7026672556","doi":"","title":"Analisis Kinerja Ekspor dan Faktor-Faktor Yang Mempengaruhi Nilai Ekspor Tembakau di Kabupaten Jember Tahun 2005.I – 2009.IV","year":2011,"lang":"en","type":"article","venue":"University of Jember Repository (Universitas Jember)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Index (typography); Commodity; Inflation (cosmology); Regression analysis; Exchange rate; Quarter (Canadian coin); Export performance","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":[0.0004501615,0.0003118335,0.0002517478,0.001745046,0.0006739178,0.001367071,0.0002671347,0.0002663686,0.007057264],"category_scores_gemma":[0.00082996,0.0001092747,0.0002256383,0.001911133,0.0002868513,0.0005599487,0.000617949,0.0004123444,0.00102481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007377305,"about_ca_system_score_gemma":0.001044921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157668,"about_ca_topic_score_gemma":0.02672626,"domain_scores_codex":[0.9997326,0.00004116328,0.00002846852,0.0000390915,0.00007365787,0.00008500429],"domain_scores_gemma":[0.9995963,0.0001101226,0.00009584534,0.00002242928,0.0001376567,0.00003769417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003039092,0.0001693412,0.7700359,0.001173006,0.0001688803,0.00257574,0.01296044,0.0004797766,0.003890882,0.004999146,0.009246035,0.193997],"study_design_scores_gemma":[0.00000640261,0.00008619323,0.9207604,0.0003536368,0.0001073961,0.0006824457,0.02720092,0.0004441921,0.002237488,0.0004375246,0.04765905,0.00002431168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752225,0.003005511,0.0005189193,0.0003668488,0.00005357258,0.00008333407,0.001672174,0.00002751486,0.01904962],"genre_scores_gemma":[0.9676803,0.002508882,0.001330302,0.0001271226,0.00002656148,0.00008412965,0.002877168,0.0000140359,0.02535148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01157668,"threshold_uncertainty_score":0.02360886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557008751191036,"score_gpt":0.2074311099328541,"score_spread":0.1918610224209438,"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."}}