{"id":"W2903695719","doi":"10.6017/ital.v37i4.10596","title":"Gaps in IT and Library Services at Small Academic Libraries in Canada","year":2018,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"Web and Library Services","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Staffing; Academic library; Library science; Scale (ratio); Business; Digital library; World Wide Web; Computer science; Management; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002363902,0.0002422502,0.0005547535,0.005069583,0.01320321,0.006519204,0.001473425,0.0006538552,0.008163605],"category_scores_gemma":[0.01055603,0.0004044612,0.0003278458,0.01936761,0.003163934,0.002185879,0.004152823,0.001001113,0.0006894358],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07533383,"about_ca_system_score_gemma":0.1805277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938651,"about_ca_topic_score_gemma":0.9969904,"domain_scores_codex":[0.9947107,0.0004520144,0.0003057771,0.0002697179,0.001903874,0.002357898],"domain_scores_gemma":[0.9786695,0.003176014,0.002685234,0.0003056938,0.008942708,0.006220887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004969359,0.0002428191,0.6427969,0.001081956,0.00008401563,0.001067055,0.1269393,0.001430317,0.001387644,0.02020482,0.02377896,0.1804893],"study_design_scores_gemma":[0.00001352931,0.00004841964,0.7678558,0.0003286105,0.00003190877,0.0001591351,0.1867681,0.0007086582,0.0005063948,0.0007843627,0.04271325,0.00008176556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617144,0.001996055,0.000320078,0.006353692,0.00002256503,0.00006332377,0.0017337,0.00004928999,0.02774697],"genre_scores_gemma":[0.9904929,0.001308441,0.0002759367,0.0005268769,0.000007094583,0.00001899846,0.0004850492,0.0000189583,0.00686574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9934808,"threshold_uncertainty_score":0.5465877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004780168870420213,"score_gpt":0.1691050494778353,"score_spread":0.1643248806074151,"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."}}