{"id":"W1519499233","doi":"10.18438/b88c7p","title":"Library Users Expect Link Resolvers to Provide Full Text While Librarians Expect Accurate Results","year":2006,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Service (business); World Wide Web; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04385392,0.0004793753,0.0006948115,0.004184175,0.004616027,0.01950827,0.002193327,0.006261423,0.03237565],"category_scores_gemma":[0.2017041,0.000858698,0.0007308264,0.006584795,0.00497963,0.0268336,0.00721227,0.002773808,0.05000141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002807064,"about_ca_system_score_gemma":0.007325431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004460259,"about_ca_topic_score_gemma":0.007002028,"domain_scores_codex":[0.9423608,0.02015613,0.007312117,0.002335479,0.02569831,0.002137146],"domain_scores_gemma":[0.7586602,0.1358282,0.02200177,0.01532727,0.06266125,0.005521301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000871042,0.0001043351,0.006555893,0.003892262,0.00004333854,0.0006927748,0.01059682,0.0001515599,0.001358937,0.01473085,0.6008767,0.3609093],"study_design_scores_gemma":[0.00003618918,0.00006386615,0.004889014,0.001564378,0.00003029012,0.000750839,0.006755563,0.0001099506,0.0007904485,0.003548957,0.9813927,0.00006776081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03647455,0.07708316,0.02570879,0.4165218,0.009272298,0.0005926222,0.001121769,0.005858512,0.4273665],"genre_scores_gemma":[0.2486767,0.12321,0.0365136,0.3051988,0.01749578,0.001016663,0.002119209,0.003853634,0.2619155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9804918,"threshold_uncertainty_score":0.2319245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160264644161287,"score_gpt":0.220901202354532,"score_spread":0.2048747379384033,"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."}}