{"id":"W2725013198","doi":"10.1080/1331677x.2017.1340174","title":"Regional absorption capacity of EU funds","year":2017,"lang":"en","type":"article","venue":"Economic Research-Ekonomska Istraživanja","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Absorption capacity; Cohesion (chemistry); Convergence (economics); Per capita; Eu countries; Economics; Regional science; International economics; Business; European union; Economic geography; Economic growth; Geography; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002284386,0.0001606359,0.0003866328,0.001054351,0.0003744137,0.002198375,0.0004453867,0.0003382699,0.004590886],"category_scores_gemma":[0.0112806,0.0001453681,0.0003765004,0.001085159,0.0008414552,0.001411255,0.002250588,0.0004087511,0.0004283491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008401261,"about_ca_system_score_gemma":0.0009042214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089116,"about_ca_topic_score_gemma":0.002686526,"domain_scores_codex":[0.9980536,0.0006482406,0.0001237013,0.0002511409,0.0002246363,0.0006987528],"domain_scores_gemma":[0.9940799,0.002389649,0.002116719,0.0005432273,0.0005345784,0.0003359433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008108182,0.0002055429,0.6713838,0.000380838,0.0004911433,0.001364449,0.007469348,0.03983883,0.008497719,0.1568323,0.002181708,0.1105436],"study_design_scores_gemma":[0.00002777362,0.0002400886,0.9551617,0.0001225769,0.0001647731,0.0005185088,0.005519433,0.006205055,0.003986406,0.01105375,0.01696145,0.00003860291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775912,0.0002137233,0.001395922,0.000206264,0.000002597654,0.00001147955,0.0001149266,0.00002724554,0.02043677],"genre_scores_gemma":[0.9993461,0.00003398362,0.0001320816,0.00000663438,0.000001910779,0.000004154687,0.00003892561,0.000003009245,0.0004332329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004590886,"threshold_uncertainty_score":0.01535809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3709026235254314,"score_gpt":0.4670345253620031,"score_spread":0.09613190183657166,"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."}}