{"id":"W2950397274","doi":"10.18438/eblip29570","title":"An Evidence Based Approach to Supporting Library Staff Scholarly Communication Competencies","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scholarly communication; Computer science; Library science; Data science; World Wide Web; Knowledge management; Political science; Publishing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1035334,0.0009004368,0.001534191,0.01047775,0.003244554,0.009649616,0.004042875,0.006599587,0.01909958],"category_scores_gemma":[0.2301563,0.0007907049,0.002285473,0.004479133,0.002575821,0.00752903,0.008772162,0.006352202,0.003113571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007143432,"about_ca_system_score_gemma":0.05033884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518913,"about_ca_topic_score_gemma":0.01772878,"domain_scores_codex":[0.919807,0.05279861,0.009550696,0.001446308,0.01513594,0.0012616],"domain_scores_gemma":[0.7364656,0.1769954,0.01372608,0.00948946,0.05229809,0.01102539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007543536,0.003583212,0.009184826,0.03848447,0.0005986375,0.0004901142,0.002935343,0.0006348173,0.001057791,0.0219408,0.04939321,0.8709424],"study_design_scores_gemma":[0.003768307,0.005943135,0.04892564,0.5466196,0.006405127,0.001349752,0.02215703,0.003345554,0.00835531,0.0704321,0.2822766,0.0004217701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03730902,0.1292968,0.08813708,0.4987476,0.01645578,0.02179424,0.002013829,0.0009225043,0.2053231],"genre_scores_gemma":[0.4074365,0.09687433,0.4146297,0.04184949,0.00221132,0.0166766,0.001401177,0.00008920445,0.01883178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903504,"threshold_uncertainty_score":0.5475433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884034537154271,"score_gpt":0.3035013730093885,"score_spread":0.2746610276378458,"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."}}