{"id":"W4402065033","doi":"10.58411/s1ckw738","title":"PENGUKURAN INDIKATOR KINERJA DAERAH KOTA MALANG","year":2023,"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":"Business","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":[0.0006398543,0.0004628811,0.0009012706,0.0007217885,0.0002841238,0.0003113532,0.0007531891,0.0004023476,0.001251935],"category_scores_gemma":[0.000265787,0.0005766276,0.0003843486,0.0008564576,0.0001711958,0.0003462067,0.0003629428,0.0004946705,0.04289209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800949,"about_ca_system_score_gemma":0.00005530679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007147706,"about_ca_topic_score_gemma":0.0001046011,"domain_scores_codex":[0.9966264,0.00003795228,0.001163466,0.0008845063,0.00007172103,0.00121595],"domain_scores_gemma":[0.9981002,0.0001231929,0.000497772,0.0008464189,0.00003300234,0.0003994038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003501872,0.0001499739,0.6714796,0.0003347152,0.0003069027,0.00005578025,0.003278722,0.00001946791,0.0001075367,0.1328133,0.1893307,0.002088246],"study_design_scores_gemma":[0.0008894476,0.00009293804,0.5444174,0.00004488062,0.0000236583,0.000007822391,0.0004135209,0.001442347,0.00008715261,0.004118319,0.4477262,0.0007363737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7812384,0.00473504,0.00004211022,0.005176537,0.005692621,0.0004597169,0.001041809,0.0003063592,0.2013074],"genre_scores_gemma":[0.9322743,0.001604859,0.00003878171,0.001180858,0.001326332,0.00005779745,0.000254954,0.0001137737,0.06314836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583955,"threshold_uncertainty_score":0.9996685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186287976484816,"score_gpt":0.2199147570331779,"score_spread":0.1780518772683298,"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."}}