{"id":"W4380786331","doi":"10.18438/eblip30206","title":"Factors Affecting Publication Impact and Citation Trends Over Time","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Association of Research Libraries; Institute of Museum and Library Services","keywords":"Citation; Impact factor; Scopus; Citation impact; Library science; Bibliometrics; Medicine; MEDLINE; Political science; 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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02545582,0.0003558143,0.0007880534,0.01735642,0.0009146664,0.004704446,0.0008288868,0.0008156858,0.002931697],"category_scores_gemma":[0.1477842,0.0002478219,0.00131081,0.04219119,0.0007480918,0.004395246,0.001172266,0.0009285396,0.0009454618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697836,"about_ca_system_score_gemma":0.002524458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191321,"about_ca_topic_score_gemma":0.003606892,"domain_scores_codex":[0.9808527,0.004281171,0.00476811,0.001734755,0.007308915,0.001054439],"domain_scores_gemma":[0.7193069,0.133814,0.09186497,0.006822586,0.04422672,0.00396473],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001857885,0.00008810023,0.9478036,0.0006547582,0.0003778731,0.00019741,0.001585176,0.0005398552,0.0004910684,0.0007240873,0.001042354,0.04630992],"study_design_scores_gemma":[0.00001040507,0.0001623079,0.9884964,0.0002088595,0.000205418,0.0003990621,0.001476973,0.0008781205,0.0009423175,0.0009838985,0.006201153,0.00003517349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663423,0.01355687,0.00331041,0.002917422,0.0002429113,0.0001815434,0.003978382,0.0001219833,0.009348169],"genre_scores_gemma":[0.9920415,0.002665536,0.001723514,0.0000952435,0.0003000672,0.0000969668,0.001921154,0.00003011754,0.001125821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9826436,"threshold_uncertainty_score":0.1346248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3470391982219514,"score_gpt":0.5219199714307318,"score_spread":0.1748807732087804,"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."}}