{"id":"W3144917562","doi":"10.18371/fcaptp.v1i36.228031","title":"PUBLIC-PRIVATE PARTNERSHIP IN EDUCATION AS A PREREQUISITE FOR THE GROWTH OF REGIONAL LABOR MARKETS: ANALYSIS OF FOREIGN EXPERIENCE","year":2021,"lang":"en","type":"article","venue":"Financial and credit activity problems of theory and practice","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Vocational education; Public–private partnership; Typology; Higher education; Public relations; Private sector; Public administration; Economic growth; Business; Political science; Economics; Sociology; 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":[0.001459139,0.0001011002,0.0001555884,0.0007602579,0.001179109,0.002760695,0.000379108,0.0003037381,0.005429049],"category_scores_gemma":[0.003229682,0.00007594864,0.0002243391,0.001230864,0.001371109,0.002435642,0.002545784,0.0003981283,0.0002461063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631687,"about_ca_system_score_gemma":0.001531478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006287467,"about_ca_topic_score_gemma":0.00627833,"domain_scores_codex":[0.9989459,0.0005031176,0.00003511171,0.00007921975,0.0001165658,0.0003200207],"domain_scores_gemma":[0.9987652,0.0005811492,0.0001861744,0.00006117206,0.0001413559,0.000264915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002133166,0.0002665522,0.393214,0.0002354709,0.00003720661,0.003844264,0.4049957,0.001930814,0.0008584954,0.1111991,0.002278596,0.08092647],"study_design_scores_gemma":[0.000007090516,0.0001169419,0.2525744,0.0001635788,0.00001315548,0.0005235894,0.718577,0.001817959,0.0003031011,0.00437254,0.02151276,0.00001786545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832865,0.0001864528,0.000478874,0.0001970817,0.000005246022,0.00001172072,0.00002785,0.000001573007,0.01580473],"genre_scores_gemma":[0.9990528,0.0000564804,0.0000646081,0.000008527354,0.00000119408,0.000006651975,0.0000130965,0.000001036226,0.0007957272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006287467,"threshold_uncertainty_score":0.01816201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657999440116714,"score_gpt":0.2862730436127806,"score_spread":0.2296930492116134,"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."}}