{"id":"W2602400993","doi":"10.1111/puar.12737","title":"Examining the Evolution of the Field of Public Administration through a Bibliometric Analysis of <i>Public Administration Review</i>","year":2017,"lang":"en","type":"article","venue":"Public Administration Review","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal; Canada Research Chairs","keywords":"Milestone; Bibliometrics; Administration (probate law); Politics; Field (mathematics); Political science; Centrality; Sociology; Public administration; Social science; Library science; History; Law","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02079545,0.0002448899,0.0006585769,0.06713259,0.001735085,0.01021915,0.0007725713,0.0006203738,0.002152561],"category_scores_gemma":[0.1064883,0.0002532042,0.000446456,0.1061174,0.002174932,0.006290564,0.003049629,0.0006679094,0.0005126717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00479208,"about_ca_system_score_gemma":0.006990712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006893333,"about_ca_topic_score_gemma":0.01070814,"domain_scores_codex":[0.9744942,0.008073864,0.003341357,0.001926267,0.01126624,0.000898047],"domain_scores_gemma":[0.8131677,0.1028387,0.04068676,0.006389697,0.03455244,0.002364663],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001938345,0.0001008035,0.5581033,0.006158769,0.0007166713,0.0007113957,0.05355712,0.001058882,0.002842843,0.04744586,0.03463606,0.2944744],"study_design_scores_gemma":[0.00001108334,0.00006005687,0.8337023,0.001545618,0.0001834044,0.0003665745,0.02441707,0.001276952,0.001172872,0.003619702,0.1335885,0.00005588218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8129541,0.05492906,0.00626156,0.01566019,0.000806354,0.0004411887,0.01079445,0.0002704866,0.09788252],"genre_scores_gemma":[0.9791167,0.01269943,0.002789452,0.0003987247,0.0007796515,0.0001936143,0.001974518,0.00006971938,0.00197816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9792045,"threshold_uncertainty_score":0.1099781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941251998639366,"score_gpt":0.4629531432263876,"score_spread":0.268827943362451,"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."}}