{"id":"W7018915049","doi":"","title":"Electronic resources security: a look at unauthorized users","year":2010,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity theft; The Internet; Proxy (statistics); Government (linguistics); Smart card; Proxy server","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003046204,0.0003655282,0.0003213802,0.006741713,0.005617782,0.008922724,0.0008364592,0.003896169,0.005275565],"category_scores_gemma":[0.009649551,0.0003394149,0.0004131668,0.006112816,0.01205998,0.02773705,0.005905129,0.003682235,0.001004423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003568962,"about_ca_system_score_gemma":0.002942123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007316656,"about_ca_topic_score_gemma":0.01222209,"domain_scores_codex":[0.9956343,0.002175296,0.0002539601,0.0002408338,0.001075309,0.000620309],"domain_scores_gemma":[0.9882281,0.006636715,0.001757501,0.0009719123,0.001793196,0.0006124696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001040193,0.0001235526,0.08984447,0.001014921,0.0000339292,0.004128693,0.3141022,0.000261369,0.002292773,0.2952274,0.02815352,0.2647131],"study_design_scores_gemma":[0.000008407161,0.0001561048,0.05413202,0.002622242,0.00005555668,0.007459084,0.5432985,0.0004204737,0.002000415,0.04777924,0.3419802,0.00008784675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4722944,0.06441264,0.0145766,0.1323725,0.0008480669,0.00009562916,0.000247771,0.0002025781,0.3149498],"genre_scores_gemma":[0.9445369,0.02906369,0.002050659,0.009763112,0.0003118614,0.00002776996,0.0000701356,0.00006122582,0.01411471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008922724,"threshold_uncertainty_score":0.02589476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00511142640584777,"score_gpt":0.1951882202214003,"score_spread":0.1900767938155525,"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."}}