{"id":"W1539857964","doi":"10.18438/b8tk6b","title":"Email Reference Transactions Reveal Unique Patterns about End-User Information Seeking Behaviour and Librarians’ Responses in Academic and Public Libraries Outside the U.S. and Canada","year":2012,"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":"McGill University","funders":"","keywords":"Library science; Subject (documents); Database transaction; Digital reference; Service (business); World Wide Web; Sociology; Political science; Computer science; Business; Marketing; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.003256988,0.0001975497,0.000455604,0.003136799,0.003251052,0.002995047,0.001122523,0.0007110958,0.00427093],"category_scores_gemma":[0.01886879,0.0003523763,0.0003441403,0.008058527,0.001514665,0.00134135,0.002075136,0.0007082003,0.000610707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01337777,"about_ca_system_score_gemma":0.01430779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9270698,"about_ca_topic_score_gemma":0.9613698,"domain_scores_codex":[0.9965073,0.0008720788,0.0002929545,0.0004195626,0.00100777,0.0009002803],"domain_scores_gemma":[0.9766276,0.005398587,0.005062499,0.0007671845,0.00939222,0.002751855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001715721,0.00007779326,0.9606956,0.00004005103,0.00003030831,0.00008986079,0.02978546,0.00005000514,0.000210681,0.0001355749,0.0009917978,0.00772126],"study_design_scores_gemma":[0.000003230537,0.00002323976,0.9651602,0.00002153368,0.000007562125,0.00001972792,0.03366381,0.0001086476,0.0000910658,0.00001893676,0.0008672464,0.00001477145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979227,0.0001107093,0.00004104552,0.000144705,0.000002892703,0.00001454315,0.0003656346,0.000005044049,0.001392649],"genre_scores_gemma":[0.9978582,0.0001221817,0.0000875882,0.0001032753,0.000003701087,0.00002549154,0.0003875333,0.000007158485,0.001404841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9270698,"threshold_uncertainty_score":0.1467193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977723732035306,"score_gpt":0.2821783703229329,"score_spread":0.2524011330025799,"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."}}