{"id":"W2904863785","doi":"10.18438/eblip29471","title":"The Library Assessment Capability Maturity Model: A Means of Optimizing How Libraries Measure Effectiveness","year":2018,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Otago","keywords":"Benchmarking; Capability Maturity Model; Computer science; Maturity (psychological); Process (computing); Process management; Measure (data warehouse); Artifact (error); Value (mathematics); Data collection; Digital library; Operations research; Data mining; Engineering; Business; Statistics; Artificial intelligence; Marketing; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04485336,0.001967169,0.001040684,0.01254306,0.001567162,0.01120424,0.002650163,0.002222923,0.00289407],"category_scores_gemma":[0.100014,0.0007023471,0.001924801,0.007894867,0.001990671,0.01734981,0.006300249,0.002412039,0.001053574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01095896,"about_ca_system_score_gemma":0.01520354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008108301,"about_ca_topic_score_gemma":0.005787137,"domain_scores_codex":[0.9640283,0.02215669,0.002648972,0.001423878,0.00852073,0.001221491],"domain_scores_gemma":[0.9177235,0.04409378,0.008391163,0.005136577,0.02297634,0.001678638],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000262357,0.000652093,0.05879235,0.002173684,0.0004371523,0.0001878484,0.006849503,0.1907309,0.003777086,0.2304884,0.01055239,0.4950961],"study_design_scores_gemma":[0.0001079951,0.001636961,0.03785445,0.005079901,0.0003850309,0.0003453255,0.01038231,0.5957204,0.01376094,0.264157,0.06999715,0.0005725351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06170188,0.002108514,0.8798798,0.005184275,0.00007596387,0.001510002,0.0008090945,0.001467187,0.04726324],"genre_scores_gemma":[0.4677677,0.00102549,0.5272644,0.0002113763,0.00002935409,0.001444309,0.0007308366,0.0001366457,0.001389991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551467,"threshold_uncertainty_score":0.2372101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150071978043026,"score_gpt":0.259259650488764,"score_spread":0.2442524526844614,"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."}}