{"id":"W4285083393","doi":"10.1002/cjas.1687","title":"<i>Canadian Journal of Administrative Sciences</i>: A Retrospective Review Using Bibliometric Analysis","year":2022,"lang":"en","type":"review","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Knowledge management; Diversity (politics); Corporate governance; Bibliometrics; Human resources; Business; Political science; Management; Public relations; Library science; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02528414,0.0008748048,0.003009164,0.1510868,0.0054636,0.007717102,0.002223471,0.001271143,0.005815172],"category_scores_gemma":[0.1282783,0.0009192173,0.001923791,0.1742741,0.002920577,0.002916294,0.002215093,0.0009227832,0.001455486],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02424675,"about_ca_system_score_gemma":0.1211637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.390771,"about_ca_topic_score_gemma":0.5471125,"domain_scores_codex":[0.9529567,0.004777833,0.01101938,0.001978692,0.02769356,0.001573849],"domain_scores_gemma":[0.7910181,0.04996995,0.02577944,0.005863523,0.1232793,0.004089682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004025905,0.000122458,0.08478011,0.2696313,0.002394078,0.001188587,0.004289845,0.0003671558,0.002049483,0.007580156,0.2309977,0.3961966],"study_design_scores_gemma":[0.00006464829,0.0001644682,0.2074119,0.102708,0.004994804,0.00142952,0.005305676,0.0003536768,0.001588687,0.0008265816,0.674932,0.0002200379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02740612,0.8733128,0.001868335,0.01348411,0.003107007,0.004801203,0.05073653,0.0003500727,0.02493382],"genre_scores_gemma":[0.2174392,0.7227359,0.01050279,0.00584974,0.002107594,0.007369382,0.02680139,0.00022428,0.006969712],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9757532,"threshold_uncertainty_score":0.776993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2673537246943422,"score_gpt":0.4011517614919263,"score_spread":0.1337980367975842,"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."}}