{"id":"W4231961896","doi":"10.5539/res.v10n1p140","title":"Reviewer Acknowledgements for Review of European Studies, Vol 10, No. 1","year":2018,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; State (computer science); Political science; Government (linguistics); Sociology; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1809521,0.004512454,0.008337115,0.02489758,0.006260797,0.02009828,0.008025406,0.01581063,0.09440739],"category_scores_gemma":[0.6996847,0.002204797,0.005634768,0.01561419,0.005408169,0.01519785,0.007951866,0.01430404,0.05732399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01346527,"about_ca_system_score_gemma":0.03017557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018245,"about_ca_topic_score_gemma":0.004157073,"domain_scores_codex":[0.7663456,0.08565143,0.06049665,0.01399043,0.06794419,0.005571742],"domain_scores_gemma":[0.127626,0.06933843,0.03684806,0.02092704,0.7351272,0.01013329],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000369673,0.000005777212,0.00009089382,0.002060577,0.00002580632,0.00004201226,0.00020475,0.00001036391,0.00003761601,0.000555149,0.9851436,0.01178654],"study_design_scores_gemma":[0.0001060721,0.00002287309,0.0004820851,0.01408803,0.00007381073,0.0002523541,0.0005643442,0.0000932855,0.00006939175,0.001867942,0.9823135,0.00006634169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001272091,0.01494757,0.002661928,0.1562975,0.8141882,0.003319635,0.001364702,0.0006202454,0.006473007],"genre_scores_gemma":[0.008485775,0.0318266,0.01548354,0.2574845,0.5841666,0.03215558,0.004101702,0.003281111,0.06301458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8190479,"threshold_uncertainty_score":0.9569777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172617220749462,"score_gpt":0.3405856931549066,"score_spread":0.2233239710799604,"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."}}