{"id":"W4392420106","doi":"10.52391/jcn.v6i2.734","title":"ANALISIS PENGARUH SEKTOR PERDAGANGAN TERHADAP PDRB SUMATERA UTARA DENGAN MENGGUNAKAN METODE LOCATION QUOTIENT","year":2022,"lang":"en","type":"article","venue":"Cendekia Niaga","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Quotient; Combinatorics","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":[0.0009099733,0.0003794974,0.000452648,0.001460632,0.0003489349,0.002101207,0.0003676672,0.0002300446,0.01069817],"category_scores_gemma":[0.002807693,0.0001484524,0.000316392,0.002843947,0.000275773,0.001042492,0.0005900998,0.0004805652,0.001829572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008218102,"about_ca_system_score_gemma":0.0007287741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360948,"about_ca_topic_score_gemma":0.01364498,"domain_scores_codex":[0.9993328,0.0001554213,0.00006176988,0.0001121049,0.0002592554,0.00007856204],"domain_scores_gemma":[0.9983729,0.0007062004,0.0002241365,0.00009953932,0.0005376462,0.00005959464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009922385,0.0002312198,0.4924285,0.001284661,0.0003447513,0.001247004,0.005983587,0.01576516,0.00488168,0.008982317,0.01873773,0.4491211],"study_design_scores_gemma":[0.00003101676,0.0002455348,0.7986056,0.0003992304,0.0003099327,0.00105583,0.03090927,0.03076123,0.007161317,0.003698158,0.1267269,0.00009597606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523883,0.002513725,0.00685678,0.0006724728,0.0001160402,0.00005965864,0.00604059,0.0002423927,0.03111005],"genre_scores_gemma":[0.9767076,0.001267984,0.004432349,0.00003726808,0.00003227041,0.00005258169,0.003227389,0.0000697618,0.01417272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360948,"threshold_uncertainty_score":0.03578895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876854054270049,"score_gpt":0.2019325545780783,"score_spread":0.1731640140353778,"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."}}