{"id":"W2995152178","doi":"10.24025/2306-4420.0.52.2019.160483","title":"PROJECTS OF INTERREGIONAL COOPERATION IN COMPENSATION STRATEGIES FOR REGIONAL DEVELOPMENT","year":2019,"lang":"en","type":"article","venue":"Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attractiveness; Regional policy; Ukrainian; Regional development; General partnership; Space (punctuation); Business; Regional science; Compensation (psychology); Promotion (chess); Economic system; Economic geography; Economics; Political science; Geography; Politics; Finance","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":[0.01291823,0.0006076026,0.0002055628,0.002026345,0.002565111,0.004120799,0.001632011,0.001412043,0.005926699],"category_scores_gemma":[0.01161908,0.0002887732,0.0004227276,0.001798053,0.004792849,0.00402211,0.01076475,0.001470931,0.0009270554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003716959,"about_ca_system_score_gemma":0.008452326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216761,"about_ca_topic_score_gemma":0.002245141,"domain_scores_codex":[0.9829577,0.01185234,0.0005786392,0.0009945683,0.002140121,0.001476598],"domain_scores_gemma":[0.9919118,0.00224811,0.001396666,0.001520792,0.001613361,0.001309249],"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":[0.00009248382,0.0002794124,0.007897189,0.0005429721,0.0000467164,0.0004996359,0.0144746,0.00682134,0.001741731,0.6789636,0.004453571,0.2841868],"study_design_scores_gemma":[0.00008837532,0.0008520377,0.02175975,0.00142494,0.00009140467,0.001648288,0.03245795,0.01588258,0.005835659,0.2324968,0.6873462,0.0001160329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1659373,0.00532744,0.4012063,0.01052442,0.0005567785,0.001571588,0.00005483608,0.0005121363,0.4143092],"genre_scores_gemma":[0.9043391,0.001013735,0.06714424,0.0003861231,0.00005268723,0.0004437258,0.00003835652,0.00004531431,0.02653672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01291823,"threshold_uncertainty_score":0.06831896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05197292480526106,"score_gpt":0.225302051978771,"score_spread":0.17332912717351,"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."}}