{"id":"W2950081584","doi":"10.18438/eblip29551","title":"More DOIs are Accessed Through Library Discovery Services than Through Google","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"World Wide Web; Computer science; Web traffic; Library science; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004384332,0.0004737525,0.0009074183,0.01997408,0.001942712,0.01175586,0.001081254,0.001168689,0.05609739],"category_scores_gemma":[0.03033057,0.0004420705,0.001304844,0.04318482,0.0009612422,0.01542632,0.003952701,0.001277322,0.03750181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145388,"about_ca_system_score_gemma":0.003235777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007642821,"about_ca_topic_score_gemma":0.01085231,"domain_scores_codex":[0.9932219,0.001386868,0.0006796669,0.000832551,0.003386287,0.0004928451],"domain_scores_gemma":[0.9665041,0.01267616,0.006145746,0.004311715,0.008042106,0.002320203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002279823,0.0002971794,0.06601336,0.003422036,0.000245719,0.0004609842,0.003953081,0.0002084531,0.003234081,0.01907838,0.163019,0.7398397],"study_design_scores_gemma":[0.00002723655,0.00008105495,0.04069431,0.0006128665,0.0001020586,0.001068857,0.002755043,0.0003356771,0.001626327,0.002065911,0.9505404,0.00009023235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2187685,0.06113735,0.01733171,0.02476838,0.004884596,0.000398155,0.02975898,0.01075505,0.6321973],"genre_scores_gemma":[0.4886026,0.05991483,0.02558619,0.009981722,0.005155639,0.0003376224,0.03017211,0.004451461,0.3757979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9882441,"threshold_uncertainty_score":0.1876644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039343704301072,"score_gpt":0.2399948978908407,"score_spread":0.22960146084783,"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."}}