{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002578111,0.0003326563,0.0001979566,0.001223036,0.001258855,0.003763744,0.0005821785,0.0007818901,0.003138117],"category_scores_gemma":[0.003752154,0.0001877745,0.0005546842,0.001324767,0.003120192,0.002884187,0.001347015,0.0008652741,0.0003520727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007204209,"about_ca_system_score_gemma":0.005582495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102378,"about_ca_topic_score_gemma":0.007586836,"domain_scores_codex":[0.9971263,0.001801202,0.0001463779,0.0001809941,0.0004200304,0.0003250929],"domain_scores_gemma":[0.9980232,0.0008356312,0.0003782372,0.0002009394,0.0004570561,0.0001050114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002287743,0.00006025077,0.005592164,0.0000752627,0.00001226834,0.00008959326,0.005677436,0.005840265,0.0002231415,0.9697104,0.000807588,0.01188867],"study_design_scores_gemma":[0.00006203682,0.0003414991,0.05249781,0.0005532088,0.0001241373,0.0004867462,0.05212427,0.1024582,0.001751256,0.6842677,0.1052268,0.0001063454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5558031,0.001145864,0.1310029,0.008701309,0.00008748112,0.0004786777,0.0003157908,0.0001242767,0.3023407],"genre_scores_gemma":[0.9882687,0.0002125121,0.008000327,0.00007263514,0.000004041531,0.0001410619,0.00006591567,0.000007034392,0.00322783],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0102378,"threshold_uncertainty_score":0.05227041,"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."}}