{"id":"W2966389822","doi":"","title":"Зарубежный опыт использования кластеров для инновационного развития экономики","year":2019,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001627366,0.0003754495,0.0004238379,0.001736106,0.00152374,0.004147845,0.0006032061,0.000805365,0.01331882],"category_scores_gemma":[0.003131459,0.0005268463,0.0004244369,0.002204282,0.002273405,0.001831296,0.001379799,0.001757731,0.003266249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563434,"about_ca_system_score_gemma":0.00420115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005849434,"about_ca_topic_score_gemma":0.006965827,"domain_scores_codex":[0.9984519,0.0002562619,0.00007971367,0.0002367406,0.0008266309,0.0001486103],"domain_scores_gemma":[0.998628,0.0004675023,0.0001699232,0.0002338887,0.0004134798,0.0000872938],"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":[0.0001466012,0.0001163855,0.002046227,0.0006696578,0.00004393426,0.0008562383,0.002357516,0.003528073,0.03921171,0.6700485,0.007299351,0.2736758],"study_design_scores_gemma":[0.00005049285,0.0001200246,0.004054196,0.0003318661,0.00006527571,0.001570924,0.001657383,0.002480208,0.03736054,0.1723711,0.7797869,0.0001510326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08214946,0.03111397,0.3107184,0.006130684,0.002219938,0.0003528446,0.001060359,0.0005933418,0.5656611],"genre_scores_gemma":[0.7401024,0.02277787,0.1701541,0.0005203118,0.0004389883,0.0005722496,0.0004399911,0.000316853,0.06467716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01331882,"threshold_uncertainty_score":0.04455584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301313079313943,"score_gpt":0.1971640545542409,"score_spread":0.190862741474927,"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."}}