{"id":"W4410705268","doi":"10.29173/cais1908","title":"A Bibliometric Analysis of Research by Canadian Library and Information Science Academics and Practitioners","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa; Université de Montréal","funders":"","keywords":"Library science; Bibliometrics; Information science; Sociology; Political science; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01354427,0.0007979555,0.00185403,0.1942055,0.007764642,0.01008029,0.002212042,0.0008363418,0.004323799],"category_scores_gemma":[0.08960904,0.0004269905,0.0009795855,0.3935028,0.001867157,0.003258859,0.004535765,0.0007841983,0.0009317252],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06329485,"about_ca_system_score_gemma":0.1384415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9344122,"about_ca_topic_score_gemma":0.9372923,"domain_scores_codex":[0.9613768,0.002345944,0.002944486,0.001637235,0.02951401,0.002181486],"domain_scores_gemma":[0.8898094,0.02325612,0.01394551,0.002013808,0.06630275,0.00467244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002399825,0.00009703755,0.5990439,0.009494253,0.0006847763,0.0005630773,0.05219856,0.001277566,0.001303032,0.02046126,0.06880404,0.2458324],"study_design_scores_gemma":[0.00001840847,0.00004441672,0.8278551,0.001438738,0.0002766826,0.0002841376,0.03278114,0.001209747,0.000457663,0.001011216,0.1345115,0.0001112845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6015198,0.0374528,0.003906822,0.007955325,0.0002999885,0.001461712,0.1787412,0.000645506,0.1680168],"genre_scores_gemma":[0.8797237,0.02962195,0.01023605,0.0005916547,0.00027636,0.001420195,0.06406967,0.0002101959,0.01385039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9367052,"threshold_uncertainty_score":0.4592384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674113199962586,"score_gpt":0.2833134554211827,"score_spread":0.2565723234215568,"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."}}