{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001800389,0.0006346726,0.0007853074,0.00533555,0.0009219029,0.003810459,0.001249401,0.0008180407,0.03707445],"category_scores_gemma":[0.008316203,0.0003893302,0.0007443892,0.009743909,0.0002636357,0.003116601,0.001756342,0.0009423552,0.02124371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621231,"about_ca_system_score_gemma":0.004352923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323304,"about_ca_topic_score_gemma":0.02102835,"domain_scores_codex":[0.9979447,0.000383857,0.0004345676,0.0004391441,0.0005808479,0.0002168912],"domain_scores_gemma":[0.9919298,0.001925507,0.001237708,0.001093882,0.002773526,0.001039708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001022071,0.0002179805,0.09032358,0.004014813,0.0003282301,0.0003191468,0.0008033051,0.001051642,0.001544945,0.008272716,0.6410633,0.2510381],"study_design_scores_gemma":[0.0001478703,0.0001054035,0.08658934,0.0009828846,0.0002381775,0.0002950402,0.001355744,0.00228177,0.001876124,0.002973211,0.9030758,0.00007873086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03703911,0.009463144,0.004094128,0.00621171,0.0003949092,0.0005629651,0.8524002,0.004847071,0.08498668],"genre_scores_gemma":[0.1452543,0.009789187,0.009237965,0.001513722,0.0002912508,0.0007818218,0.7983898,0.0005059928,0.03423601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03707445,"threshold_uncertainty_score":0.1240264,"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."}}