{"id":"W2049895896","doi":"10.1080/00987913.2014.977127","title":"Knowledgebases: The Cornerstone of E-Resource Management and Access","year":2014,"lang":"en","type":"article","venue":"Serials Review","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Cornerstone; Metadata; Pace; Resource (disambiguation); Computer science; World Wide Web; Knowledge management; Resource management (computing); Human resource management system; Human resource management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000482152,0.00008440978,0.0002071951,0.00003906402,0.0000740695,0.0001547728,0.0006476372,0.00001303542,0.00004355725],"category_scores_gemma":[0.00006458789,0.00005051234,0.00003935012,0.0004382702,0.000045882,0.0004478227,0.0005385926,0.00002417649,0.00002119436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000469078,"about_ca_system_score_gemma":0.00001602698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001608529,"about_ca_topic_score_gemma":6.711465e-7,"domain_scores_codex":[0.9992111,0.0001264982,0.0002441327,0.0001756557,0.0001412972,0.0001013109],"domain_scores_gemma":[0.9993626,0.0001289283,0.0001187658,0.0003240354,0.00002328587,0.00004242103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001003381,0.00005206758,0.0003382761,0.003597781,0.00006456457,0.000001746968,0.0002167284,0.000004428998,0.00002140197,0.1551915,0.1300001,0.7105014],"study_design_scores_gemma":[0.0001173035,0.00002408117,0.00090289,0.0006823867,0.00001270367,0.000003202185,0.000005367055,0.00007091028,0.0003420808,0.001276423,0.9964816,0.00008102465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0088103,0.2234205,0.03642394,0.01002772,0.0007892604,0.002350074,0.000003328884,0.0003000598,0.7178748],"genre_scores_gemma":[0.445583,0.3720976,0.03350558,0.05052565,0.0009688458,0.0007128998,0.00003249983,0.000112372,0.09646156],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8664815,"threshold_uncertainty_score":0.2059833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885327368552573,"score_gpt":0.2540859256808817,"score_spread":0.235232651995356,"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."}}