{"id":"W2044132506","doi":"10.1111/jan.12610","title":"Measuring research success via bibliometrics: where they fit and how they help and hinder","year":2014,"lang":"en","type":"editorial","venue":"Journal of Advanced Nursing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bibliometrics; MEDLINE; Psychology; Data science; Computer science; Library science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.08252344,0.0005044559,0.001493781,0.3210561,0.0009230743,0.01072233,0.003714623,0.0009566201,0.00003725413],"category_scores_gemma":[0.1585423,0.0003461265,0.0003008506,0.1856215,0.0005926423,0.002764496,0.0008560878,0.003883676,0.00001162354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079748,"about_ca_system_score_gemma":0.0007204814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006194797,"about_ca_topic_score_gemma":0.00008529039,"domain_scores_codex":[0.9608679,0.001521392,0.001495392,0.001250431,0.03340802,0.001456803],"domain_scores_gemma":[0.9193636,0.04669988,0.002562287,0.001203577,0.02856047,0.001610146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001980466,0.00009814843,0.001841785,0.00007128579,0.00004591366,0.00005363551,0.000314834,0.00008008822,0.0005811324,0.00001396026,0.5447919,0.4519093],"study_design_scores_gemma":[0.003096116,0.001977951,0.004694682,0.002127862,0.00007663901,0.0002194047,0.003167252,0.001007845,0.000365854,0.04007782,0.9422904,0.0008981491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.09100768,0.07299497,0.008449297,0.005557747,0.8194989,0.0007391957,0.00008665211,0.00003324009,0.001632309],"genre_scores_gemma":[0.4844909,0.03898392,0.006370842,0.00002590997,0.4675116,0.000008390592,0.000005108239,0.0001689208,0.002434445],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4510111,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4724444472327169,"score_gpt":0.5649713516395085,"score_spread":0.09252690440679157,"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."}}