{"id":"W1579166901","doi":"10.1080/10875301.2013.870391","title":"Using Libguides to Enhance Library Services","year":2014,"lang":"en","type":"article","venue":"Internet Reference Services Quarterly","topic":"Web and Library Services","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"World Wide Web; Computer science; Library science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001995335,0.0004639142,0.0003920521,0.003000525,0.00160817,0.005739559,0.001255442,0.0007855076,0.03045245],"category_scores_gemma":[0.0123153,0.0004574779,0.0004067299,0.002358845,0.0005849843,0.007268721,0.003861591,0.001147518,0.01352664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040895,"about_ca_system_score_gemma":0.001964021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003972662,"about_ca_topic_score_gemma":0.007254809,"domain_scores_codex":[0.9983099,0.0005252067,0.0001135333,0.0001184998,0.0007270428,0.0002058643],"domain_scores_gemma":[0.9938571,0.001907601,0.0003730464,0.001451153,0.001735935,0.0006751455],"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":[0.0006577805,0.001160062,0.01166533,0.0004109167,0.00004024244,0.000428084,0.003362039,0.0006740797,0.00847607,0.01976635,0.08344466,0.8699145],"study_design_scores_gemma":[0.0003835967,0.0008344933,0.02248009,0.0007929259,0.0003209821,0.0019244,0.003484402,0.01607789,0.03440548,0.01999781,0.899093,0.0002048648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2828851,0.001266867,0.0813021,0.006290263,0.0009411238,0.0005135839,0.0008264019,0.07540198,0.5505726],"genre_scores_gemma":[0.6589267,0.001738421,0.1447846,0.002774985,0.0006992875,0.000214146,0.002166164,0.009593435,0.1791023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03045245,"threshold_uncertainty_score":0.1018736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443933245851014,"score_gpt":0.2607036505674876,"score_spread":0.2462643181089775,"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."}}