{"id":"W2046507105","doi":"10.1108/01435120910927501","title":"ERM system implementation in a consortium environment","year":2009,"lang":"en","type":"article","venue":"Library Management","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Library classification; Windsor; Computer science; Process management; Process (computing); Vendor; Engineering management; Information system; Originality; Library management; Digital library; Knowledge management; Business; World Wide Web; Engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06341632,0.0003791458,0.0004472084,0.001632624,0.00711855,0.01151155,0.002999375,0.001977986,0.01076765],"category_scores_gemma":[0.06736127,0.0005076806,0.0007904676,0.00239359,0.002900639,0.009501047,0.01374944,0.002947754,0.002592302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008466529,"about_ca_system_score_gemma":0.02301453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100149,"about_ca_topic_score_gemma":0.01012673,"domain_scores_codex":[0.9326635,0.04495846,0.003372104,0.003038144,0.01165236,0.004315395],"domain_scores_gemma":[0.9221039,0.02444842,0.005369633,0.01065804,0.03001607,0.007403888],"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":[0.0009699651,0.0051542,0.101456,0.001065495,0.0002122661,0.003632684,0.04731658,0.01185227,0.008220075,0.09492601,0.02572643,0.6994681],"study_design_scores_gemma":[0.0008737225,0.0114302,0.1412877,0.001457983,0.0002965492,0.003151929,0.1962592,0.04177307,0.03352793,0.03278599,0.5362599,0.0008957559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7518832,0.0005132326,0.08417047,0.01145857,0.0003425993,0.003442817,0.0001837691,0.001893194,0.1461122],"genre_scores_gemma":[0.9111111,0.0003245656,0.05561031,0.001150523,0.0001086899,0.001039066,0.0002911787,0.0003416423,0.030023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06341632,"threshold_uncertainty_score":0.3353816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005459311985529911,"score_gpt":0.1903581646455795,"score_spread":0.1848988526600496,"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."}}