{"id":"W4406652426","doi":"10.33137/cjal-rcbu.v11.42153","title":"An Environmental Scan of Bibliometrics and Research Impact Open Instructional Trends at Canadian Academic Research Libraries","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Academic Librarianship","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bibliometrics; Library science; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","sts"],"category_scores_codex":[0.06993535,0.0002998,0.0007771573,0.494212,0.001724899,0.005162766,0.01194103,0.001046212,0.003074234],"category_scores_gemma":[0.03235003,0.0002390821,0.0002050861,0.3938009,0.002864328,0.008152584,0.00142922,0.005594671,0.00003874167],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435551,"about_ca_system_score_gemma":0.03067065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1116473,"about_ca_topic_score_gemma":0.03654622,"domain_scores_codex":[0.9834461,0.002511855,0.002019663,0.0009340568,0.008920245,0.002168077],"domain_scores_gemma":[0.9805467,0.008373755,0.0005660662,0.0009787389,0.002144413,0.007390364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00011763,0.00001979956,0.7103968,0.00000841275,0.0000566348,0.00008142249,0.0004696341,0.00002440843,0.0005820061,0.01101489,0.1446193,0.1326091],"study_design_scores_gemma":[0.0008617695,0.0005549745,0.8127616,0.00008644623,0.00001148116,0.000206811,0.001859981,0.0002823371,0.001110969,0.06131027,0.1207186,0.0002347812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575813,0.01214668,0.00002653106,0.00927279,0.0007181134,0.0003516404,0.0007272998,0.000004930695,0.01917066],"genre_scores_gemma":[0.9924285,0.00166988,0.0005957434,0.0002491029,0.000325921,0.00000723889,0.00002289404,0.00003314938,0.00466756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1323743,"threshold_uncertainty_score":0.9998493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7118459255119588,"score_gpt":0.6195203741576483,"score_spread":0.09232555135431053,"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."}}