{"id":"W4402063377","doi":"10.58411/vp2yhp10","title":"DATABASE INOVASI DAERAH KOTA MALANG TAHUN 2020","year":2021,"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":"Database; Computer science","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":[0.0004402933,0.0004571446,0.000958618,0.0002054552,0.0002468755,0.000386711,0.0006002523,0.0003322719,0.003855846],"category_scores_gemma":[0.0004095708,0.0006112676,0.0003736288,0.0005449766,0.0001654492,0.0005068943,0.0005953895,0.0005806981,0.0100577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932628,"about_ca_system_score_gemma":0.0001531125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006030225,"about_ca_topic_score_gemma":0.0003016553,"domain_scores_codex":[0.9965305,0.00005215612,0.001256925,0.001115489,0.00006813993,0.0009767294],"domain_scores_gemma":[0.9975989,0.0001021999,0.0004969019,0.001304679,0.00007653658,0.0004208157],"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":[0.00004506123,0.0005796041,0.5635701,0.0006086123,0.0005659833,0.0003665883,0.0013075,0.000007268033,0.0005486073,0.2015936,0.2276987,0.003108358],"study_design_scores_gemma":[0.001293303,0.00007283098,0.1686784,0.0001011518,0.00005491868,0.00007098536,0.0004265916,0.0007471184,0.001145563,0.002820058,0.8235853,0.001003784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479707,0.05209884,0.000452044,0.01212532,0.008445072,0.0004581582,0.005480193,0.0001323475,0.3728374],"genre_scores_gemma":[0.882677,0.007756526,0.0008172847,0.005614062,0.002457251,0.00004885174,0.001240015,0.0001463709,0.09924266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5958866,"threshold_uncertainty_score":0.9996338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127549865836374,"score_gpt":0.2130902948188239,"score_spread":0.1818147961604602,"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."}}