{"id":"W2898642245","doi":"","title":"Evolutions In Implementing Structural And Cohesion Funds In","year":2015,"lang":"en","type":"article","venue":"Annals of Faculty of Economics","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Cohesion (chemistry); Czech; Payment; European union; Quarter (Canadian coin); Business; Economics; International economics; Accounting; Demographic economics; Geography; Finance; Demography","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":[0.01112556,0.0003114907,0.0003884357,0.003100553,0.001614337,0.008269091,0.001556449,0.001989113,0.00664999],"category_scores_gemma":[0.03679094,0.0003371866,0.0005083399,0.003014319,0.001857208,0.003190901,0.004799515,0.001440507,0.0007670299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007355304,"about_ca_system_score_gemma":0.008165469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007934641,"about_ca_topic_score_gemma":0.007059018,"domain_scores_codex":[0.9903845,0.002352326,0.0008320999,0.001164946,0.002104133,0.003162073],"domain_scores_gemma":[0.9863869,0.003403502,0.004362163,0.0009274985,0.002572516,0.002347434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008891508,0.0005747711,0.2549862,0.0006528388,0.0002920921,0.0009982144,0.02284023,0.01158324,0.003386111,0.4765632,0.01045244,0.2167816],"study_design_scores_gemma":[0.0001529579,0.0008720929,0.6948361,0.0007778652,0.0001997075,0.0009646894,0.01805162,0.005578965,0.004151496,0.02496392,0.2493067,0.0001438999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149712,0.001078643,0.003544659,0.002804231,0.00009528567,0.0001426909,0.0003531367,0.0001399023,0.07687007],"genre_scores_gemma":[0.9914375,0.0002096446,0.001088435,0.0002374504,0.0000384662,0.00006536934,0.0001542496,0.0000252104,0.006743876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112556,"threshold_uncertainty_score":0.05883831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.305344550191098,"score_gpt":0.4366525745824604,"score_spread":0.1313080243913624,"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."}}