{"id":"W4411540124","doi":"10.47629/2074-9201_2025_2_129_133","title":"ИННОВАЦИОННЫЕ КЛАСТЕРЫ КАК ИНСТРУМЕНТ ТРАНСФОРМАЦИИ МОНОПРОФИЛЬНЫХ ГОРОДОВ: ОПЫТ РОССИИ И МЕЖДУНАРОДНЫЕ ПАРАЛЛЕЛИ","year":2025,"lang":"ru","type":"article","venue":"Вестник Академии права и управления","topic":"Digital Economy and Transformation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Incentive; Diversification (marketing strategy); Industrial organization; Marketing; Economics; Market economy","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":[0.003389851,0.0007685199,0.0005355171,0.002516811,0.004397599,0.01411836,0.001154125,0.002846487,0.02989712],"category_scores_gemma":[0.008624093,0.0007023605,0.0007769553,0.002344392,0.01032065,0.007932844,0.004253319,0.003606902,0.00907662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005448665,"about_ca_system_score_gemma":0.009026466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008697271,"about_ca_topic_score_gemma":0.008507328,"domain_scores_codex":[0.994409,0.001587592,0.0002497098,0.0009336899,0.002230071,0.0005899844],"domain_scores_gemma":[0.9950866,0.001418971,0.0005530908,0.0007313307,0.001622208,0.0005878035],"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":[0.00004839814,0.00004371711,0.001591786,0.0001963032,0.00002601982,0.0003172573,0.005124411,0.0004305106,0.001205175,0.9436659,0.009252089,0.0380984],"study_design_scores_gemma":[0.00003670806,0.00005166836,0.004367624,0.0004966167,0.00005560859,0.0006436686,0.007844743,0.0009538273,0.002266799,0.4489581,0.5342352,0.00008937084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03228298,0.00901115,0.05196635,0.02088186,0.001051381,0.0001589126,0.0004739727,0.0002707474,0.8839026],"genre_scores_gemma":[0.7613119,0.01072742,0.04814936,0.002965494,0.0007240929,0.0004760627,0.0005477243,0.00045777,0.17464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02989712,"threshold_uncertainty_score":0.1000158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006050718251629954,"score_gpt":0.1900271537801761,"score_spread":0.1839764355285461,"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."}}