{"id":"W2906734358","doi":"","title":"Dampak Kenaikan Bahan Bakar Minyak, Telepon Dan Tarif Dasar Listrik Terhadap Perekonomian Indonesia","year":2012,"lang":"id","type":"article","venue":"Jurnal Ekonomi dan Kewirausahaan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Quarter (Canadian coin); Tariff; Agriculture; Agricultural economics; Business; Economics; Engineering; Geography; Ecology; International trade; Biology","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":[0.00034682,0.0002297574,0.0002039626,0.0004395481,0.0007548209,0.002251754,0.0001973769,0.0002984864,0.01967821],"category_scores_gemma":[0.0005010131,0.0001058551,0.0001131657,0.0008343167,0.0003358763,0.0009700431,0.0005064585,0.0009729791,0.003775894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168369,"about_ca_system_score_gemma":0.001906185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007131112,"about_ca_topic_score_gemma":0.00866367,"domain_scores_codex":[0.9998224,0.00003048797,0.00001589358,0.00003355571,0.00006226245,0.00003542635],"domain_scores_gemma":[0.9997018,0.00007300036,0.00005452395,0.00001292156,0.00009959314,0.00005808418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007228032,0.000659067,0.1016142,0.001552246,0.00007813879,0.002983112,0.005273005,0.007073933,0.007771282,0.08498747,0.1492691,0.6380156],"study_design_scores_gemma":[0.0000885702,0.0003043436,0.2415478,0.0008228255,0.0001038019,0.0022407,0.01607635,0.01016937,0.007972505,0.01457656,0.7059953,0.0001019531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615413,0.03113764,0.008767556,0.02681251,0.001912661,0.0001165634,0.003822898,0.0004274513,0.3654615],"genre_scores_gemma":[0.8774049,0.009032158,0.002084756,0.0003818327,0.0002170198,0.00005280757,0.0008620201,0.00004179519,0.1099228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01967821,"threshold_uncertainty_score":0.06583017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090398023289542,"score_gpt":0.22410394255319,"score_spread":0.1931999623202945,"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."}}