{"id":"W2263134599","doi":"10.12962/j23373539.v4i2.10911","title":"Tipologi Kecamatan Tertinggal di Kabupaten Lombok Tengah","year":2015,"lang":"id","type":"article","venue":"Jurnal Teknik ITS","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Art","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":[0.0006622791,0.0003926071,0.0003072681,0.001612832,0.001756947,0.001932503,0.0005238855,0.0006176964,0.01292514],"category_scores_gemma":[0.00146273,0.000304352,0.0002941223,0.002333945,0.0006707014,0.000933188,0.001520672,0.0007684192,0.001376508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510645,"about_ca_system_score_gemma":0.001782388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0686214,"about_ca_topic_score_gemma":0.1470273,"domain_scores_codex":[0.9995616,0.0001093361,0.000028622,0.00006993326,0.00007297745,0.0001576127],"domain_scores_gemma":[0.9993089,0.0001269491,0.0001820721,0.00005330658,0.0002099846,0.0001186965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000385709,0.000102901,0.8701704,0.001506822,0.0001151393,0.001638448,0.02087946,0.0001761978,0.006201376,0.003116526,0.008326798,0.08738019],"study_design_scores_gemma":[0.00001223404,0.0000863751,0.9259453,0.0007113232,0.00007595929,0.0006825854,0.03690802,0.0001157176,0.0009322449,0.0007539466,0.03374865,0.00002767298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648605,0.006792099,0.001317348,0.0026819,0.000128265,0.0002032437,0.002973528,0.00004050401,0.0210027],"genre_scores_gemma":[0.9761454,0.00336896,0.001635813,0.0004447148,0.00003154335,0.0001710049,0.001736711,0.00001713374,0.01644869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0686214,"threshold_uncertainty_score":0.136444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08381073512397358,"score_gpt":0.2468580210401395,"score_spread":0.1630472859161659,"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."}}