{"id":"W2587820242","doi":"10.29173/cais720","title":"Content Analysis of Electronic Mail Messages from Users of UTLink, the University of Toronto's Online Catalogue and Information System","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"World Wide Web; Computer science; Advertising; Internet privacy; Business","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":[0.0005146317,0.0002467772,0.0002441488,0.007278796,0.000788867,0.001221125,0.0002826691,0.0004427776,0.003941481],"category_scores_gemma":[0.007062705,0.0001267133,0.0001381857,0.004630588,0.000301311,0.0004887205,0.0005152426,0.0002241463,0.001516786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975953,"about_ca_system_score_gemma":0.001538818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07244052,"about_ca_topic_score_gemma":0.111817,"domain_scores_codex":[0.99909,0.0001669221,0.00009540129,0.00007372884,0.0004425102,0.0001315614],"domain_scores_gemma":[0.9921693,0.003677453,0.0008070922,0.0003014805,0.002749967,0.0002946762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002101131,0.0006706814,0.6357934,0.001226716,0.000131774,0.001295001,0.02485159,0.001153024,0.03256004,0.001038355,0.03940039,0.2597779],"study_design_scores_gemma":[0.00001824143,0.0001835802,0.9678364,0.00007853294,0.00008479241,0.0002334808,0.00550091,0.00395247,0.009495567,0.0001194207,0.01246679,0.00002988517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860849,0.0001545228,0.0005937706,0.0001357248,0.00002842216,0.0001366202,0.00908673,0.0002679061,0.003511344],"genre_scores_gemma":[0.9635451,0.0002638174,0.001970179,0.00006686213,0.00005943836,0.0001264396,0.02378622,0.00008892012,0.01009302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07244052,"threshold_uncertainty_score":0.1440377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712490912837327,"score_gpt":0.2011048839044079,"score_spread":0.1839799747760346,"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."}}