{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005405185,0.0000379252,0.0001138167,0.00009206475,0.00003501095,0.000008202921,0.00007302065,0.00003486406,0.000009016289],"category_scores_gemma":[0.00007840977,0.00004011379,0.00001919264,0.0000773421,0.0000788883,0.0001739108,0.00003233948,0.00002875179,0.000001101945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002467531,"about_ca_system_score_gemma":0.0001390414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006730232,"about_ca_topic_score_gemma":0.01711686,"domain_scores_codex":[0.9995022,0.00002613357,0.0002191148,0.00006761152,0.0000387216,0.0001462543],"domain_scores_gemma":[0.9997399,0.00003397963,0.00009702521,0.00003302502,0.00004807686,0.00004799893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001907561,0.00001367871,0.8852248,0.000009027108,0.000008868055,2.409691e-7,0.0177906,0.0001444646,0.0000172767,0.08888499,0.002680082,0.005206877],"study_design_scores_gemma":[0.000423673,0.00002743763,0.9217876,0.000022868,0.000001389964,2.573052e-7,0.006153666,0.000263091,0.0001766473,0.03865531,0.03238841,0.00009963605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905404,0.00006548259,3.79561e-7,0.002800484,0.00002773515,0.00005601391,0.0000173619,0.000001912972,0.00649019],"genre_scores_gemma":[0.9992653,0.0001950738,0.0002827748,0.00005713151,0.00002268409,0.000001102225,0.00001187782,0.000001665167,0.0001623744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05022968,"threshold_uncertainty_score":0.999884,"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."}}