{"id":"W3018235398","doi":"10.58411/e1czhh24","title":"EVALUASI CAPAIAN INDEKS KEPUASAN LAYANAN INFRASTRUKTUR","year":2020,"lang":"id","type":"article","venue":"PANGRIPTA","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Medicine","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":[0.0004309033,0.0005450213,0.001105292,0.000243266,0.0002503113,0.0003147929,0.0008444334,0.0004766594,0.001882815],"category_scores_gemma":[0.0004163487,0.0006917933,0.0004337442,0.0004832775,0.0002355162,0.0004102938,0.000325073,0.0007327013,0.009922048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874434,"about_ca_system_score_gemma":0.0001087619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007659166,"about_ca_topic_score_gemma":0.000113577,"domain_scores_codex":[0.9963758,0.00006048918,0.001394315,0.001037026,0.00008616682,0.001046205],"domain_scores_gemma":[0.9976851,0.00006884886,0.0006713379,0.0006607604,0.0000490456,0.0008649303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006819756,0.0001685773,0.8366447,0.0003473783,0.0003832178,0.00002146444,0.006679457,0.00003523022,0.00006892392,0.06214558,0.08966278,0.003774462],"study_design_scores_gemma":[0.001556683,0.0004004707,0.3737253,0.00004456546,0.00005437219,0.000005822321,0.0006557754,0.00381981,0.0001632998,0.004378914,0.6140918,0.001103234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6517982,0.009635087,0.0004121112,0.0226425,0.003657889,0.000738679,0.001419437,0.0001950417,0.309501],"genre_scores_gemma":[0.9831545,0.0005999836,0.000114921,0.00896454,0.001652247,0.00002886697,0.00008762366,0.0001013792,0.005295902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.524429,"threshold_uncertainty_score":0.9995533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611586299143003,"score_gpt":0.2120604793716264,"score_spread":0.1559446163801964,"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."}}