{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.3144438,0.001349316,0.002921499,0.009775707,0.01622124,0.01970247,0.008609831,0.02005261,0.0045484],"category_scores_gemma":[0.4947864,0.001813332,0.003554459,0.01302053,0.08386908,0.03414853,0.01198492,0.04396899,0.001246428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01822809,"about_ca_system_score_gemma":0.03648847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02899515,"about_ca_topic_score_gemma":0.03447542,"domain_scores_codex":[0.6295451,0.2526451,0.02504581,0.01471434,0.07469999,0.003349717],"domain_scores_gemma":[0.2563873,0.6695983,0.007141897,0.01722669,0.04814305,0.001502715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004928095,0.00001554561,0.0003153341,0.0007504753,0.00004558555,0.00009036448,0.01309746,0.0001663173,0.00006843496,0.6832965,0.2787255,0.02337922],"study_design_scores_gemma":[0.00007073981,0.00005568074,0.0009675303,0.005750766,0.00007850595,0.000183932,0.006117302,0.0006243704,0.0005407383,0.3144116,0.6710541,0.0001447333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0006071984,0.01789366,0.01727351,0.9434299,0.009459402,0.000107872,0.0001521784,0.00007900954,0.01099719],"genre_scores_gemma":[0.05442252,0.02134978,0.04702481,0.8197141,0.03944033,0.00195318,0.0002403295,0.0007580952,0.0150969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9802975,"threshold_uncertainty_score":0.8454129,"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."}}