{"id":"W4312634936","doi":"10.17323/1999-5431-2022-0-4-197-223","title":"IMPLEMENTATION MODELS FOR THE \"SMART CITY\" CONCEPT IN THE STRATEGIES FOR SOCIO-ECONOMIC DEVELOPMENT OF LARGE CITIES IN THE RUSSIAN FEDERATION","year":2022,"lang":"en","type":"article","venue":"Public Administration Issues","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technocracy; Smart city; Variety (cybernetics); Objectification; Quarter (Canadian coin); Work (physics); Regional science; Political science; Economic growth; Economic system; Business; Process management; Sociology; Computer science; Engineering; Economics; Politics; Geography; Artificial intelligence; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073998,0.00009771529,0.0001627044,0.000143887,0.0006660098,0.0002640919,0.0003288792,0.00004827735,0.00009492374],"category_scores_gemma":[0.00003829966,0.00007403844,0.0000518524,0.0001250489,0.00005576008,0.0003992792,0.00002666207,0.0001117258,0.000001393483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199461,"about_ca_system_score_gemma":0.0002538041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001364272,"about_ca_topic_score_gemma":0.00184383,"domain_scores_codex":[0.9989026,0.00004977542,0.0005870308,0.0001765333,0.00005384193,0.000230212],"domain_scores_gemma":[0.999249,0.0002341823,0.0003143625,0.0001779931,0.00001457126,0.000009826386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001380308,0.00006052891,0.0022083,0.0000101287,0.00001860465,1.112385e-7,0.02266943,0.0002134752,0.000001119621,0.9729727,0.0009084672,0.0009233649],"study_design_scores_gemma":[0.001950907,0.0004442197,0.01685155,0.00000500895,0.00001056048,0.000005803451,0.3590052,0.01994224,0.0002421235,0.4976951,0.1035579,0.0002894265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.782287,0.001112106,0.08831363,0.1216457,0.0004003231,0.003113752,0.0008233904,0.00004836698,0.00225573],"genre_scores_gemma":[0.9970743,0.00001647368,0.0005774337,0.0004292092,0.00004350702,0.001510313,0.0002687505,0.000008335364,0.00007166599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752775,"threshold_uncertainty_score":0.5122477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09875051731660328,"score_gpt":0.3411690172343333,"score_spread":0.2424184999177301,"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."}}