{"id":"W3044459226","doi":"10.58411/6f742s06","title":"ANALISIS PENGUKURAN ANGKA EKONOMI KREATIF KOTA MALANG","year":2020,"lang":"id","type":"article","venue":"PANGRIPTA","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":"Psychology; Sociology","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":["insufficient_payload"],"category_scores_codex":[0.0002870847,0.0005277271,0.001158303,0.000247353,0.0002369559,0.0004183872,0.0008095933,0.0003575542,0.001526931],"category_scores_gemma":[0.0003423675,0.0006669573,0.0005141838,0.0004664362,0.0001849761,0.0004724714,0.00030194,0.0004850292,0.007082649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941663,"about_ca_system_score_gemma":0.00005418553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007259281,"about_ca_topic_score_gemma":0.00006902521,"domain_scores_codex":[0.9965965,0.00004967039,0.001309014,0.001037016,0.00005933422,0.0009484256],"domain_scores_gemma":[0.9978198,0.0001106095,0.0006383911,0.0006736021,0.00004039285,0.0007171653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006377925,0.00009110606,0.8908297,0.0002403178,0.0002816746,0.00002126363,0.003867957,0.00001513869,0.00004974857,0.02806228,0.0751909,0.001286164],"study_design_scores_gemma":[0.001521076,0.0002909078,0.6288143,0.00005098963,0.00008085374,0.000007850692,0.001252514,0.004019515,0.0001927412,0.000714238,0.3618533,0.001201751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7323526,0.01108907,0.0003028117,0.03208918,0.001995363,0.0005656459,0.001854589,0.0001603364,0.2195905],"genre_scores_gemma":[0.9857855,0.001113604,0.000067871,0.008729453,0.001587387,0.00003380374,0.0001145039,0.00009859249,0.002469212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2866624,"threshold_uncertainty_score":0.9995782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05333411285819462,"score_gpt":0.2037839883324419,"score_spread":0.1504498754742473,"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."}}