{"id":"W4392910377","doi":"10.36713/epra16114","title":"THE ROLE OF SMART CITY POLICY IN IMPROVING THE QUALITY OF LIFE IN SERANG CITY BANTEN","year":2024,"lang":"en","type":"article","venue":"EPRA International Journal of Multidisciplinary Research (IJMR)","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Smart city; Business; Environmental planning; Quality (philosophy); Environmental economics; Political science; Architectural engineering; Environmental science; Engineering; Computer science; Economics; Internet of Things; Physics; Computer security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0234839,0.00009142542,0.0002397824,0.0006795285,0.0002791357,0.0001737801,0.001336105,0.0000757472,0.0001504446],"category_scores_gemma":[0.0101846,0.00005741985,0.0002405714,0.0009345064,0.0005991107,0.000550477,0.0004882294,0.0009104715,0.000004397673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302189,"about_ca_system_score_gemma":0.002339821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02416447,"about_ca_topic_score_gemma":0.01907494,"domain_scores_codex":[0.9943506,0.001991909,0.001007288,0.0001665131,0.002130058,0.0003536763],"domain_scores_gemma":[0.9948631,0.00368643,0.0003445261,0.0001889775,0.0007779281,0.0001390483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001771604,0.0007219446,0.8293303,0.0000938397,0.0002412593,0.00005521769,0.0519622,0.0002806037,0.01126808,0.03026279,0.0004916093,0.07352053],"study_design_scores_gemma":[0.0008892796,0.0002031435,0.9300886,0.0005139222,0.000005595092,0.000006725633,0.02614443,0.004185242,0.0007758169,0.02855597,0.008507363,0.0001238581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574525,0.001330692,0.00007722079,0.03785739,0.0003861607,0.0002492976,0.00002567069,0.000006251119,0.002614789],"genre_scores_gemma":[0.9982299,0.0006696103,0.00004953308,0.00003670316,0.0004420944,0.000006631972,0.000001001736,0.000007634459,0.0005569591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007583,"threshold_uncertainty_score":0.9988244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451553559842179,"score_gpt":0.527602388687557,"score_spread":0.3824470327033391,"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."}}