{"id":"W1936322212","doi":"10.18438/b8w330","title":"Musings on Collection Analysis and Its Utility in Modern Collection Development","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data collection; Measure (data warehouse); Collection development; Focus (optics); Data science; Computer science; World Wide Web; Knowledge management; Sociology; Database; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004945915,0.0001460262,0.0001467212,0.001077033,0.000358267,0.001239454,0.0001930664,0.00009530685,0.00006038397],"category_scores_gemma":[0.0006142331,0.0001393942,0.00002805633,0.003272508,0.0000254841,0.1872159,0.0001377795,0.0002561334,0.00001236913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000174114,"about_ca_system_score_gemma":0.0003646747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007196734,"about_ca_topic_score_gemma":0.000001951102,"domain_scores_codex":[0.9987335,0.0001142165,0.0004099022,0.0002656121,0.0003106539,0.0001661479],"domain_scores_gemma":[0.9985597,0.0008545264,0.0002329044,0.0001742672,0.00005739003,0.0001212171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004356556,0.000970225,0.115191,0.0005163588,0.0004759509,0.00003047503,0.0202768,0.002065717,0.0009308384,0.2641692,0.006470802,0.5845461],"study_design_scores_gemma":[0.0006868525,0.0001588066,0.2969259,0.00008436632,0.00002965196,0.00001963328,0.0002161061,0.515098,0.01326191,0.0004380049,0.1726822,0.0003984984],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484469,0.0002118329,0.08641618,0.0307963,0.0005004766,0.0008581176,0.000002813782,0.0005131067,0.03225428],"genre_scores_gemma":[0.9724624,0.0001630497,0.01700908,0.009630442,0.00001564909,0.00004003764,0.00001302044,0.000004135528,0.0006621453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5841476,"threshold_uncertainty_score":0.9997973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511364706240133,"score_gpt":0.2311646973534862,"score_spread":0.2160510502910849,"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."}}