{"id":"W3114449178","doi":"10.5703/1288284317142","title":"Communicating Collections: Strategies for Informing Library Stakeholders of Collections, Budget, & Management Decisions","year":2020,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Dialog box; Collection development; Data collection; Computer science; Order (exchange); Construct (python library); Process (computing); Academic library; Selection (genetic algorithm); Collections management; Knowledge management; World Wide Web; Business; Library science; Sociology","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":[0.07740844,0.002279861,0.0009330391,0.008389116,0.01960166,0.02725242,0.0054289,0.008731184,0.0186468],"category_scores_gemma":[0.09224988,0.001628246,0.0009627228,0.006927732,0.01103099,0.03365597,0.02609804,0.006129069,0.005703103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01191686,"about_ca_system_score_gemma":0.03746933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009229807,"about_ca_topic_score_gemma":0.01087715,"domain_scores_codex":[0.9378158,0.05021637,0.002789127,0.001761946,0.00497799,0.002438812],"domain_scores_gemma":[0.8981635,0.0700186,0.008255911,0.005119262,0.01178165,0.006661198],"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":[0.0001529739,0.000505947,0.006759836,0.002444901,0.0001166474,0.002288215,0.3742222,0.002313371,0.003133672,0.1128863,0.07586078,0.4193151],"study_design_scores_gemma":[0.00007027345,0.0002451993,0.002853687,0.002378136,0.000127726,0.0008382038,0.483577,0.00443381,0.00326017,0.08469004,0.4172442,0.0002814629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07672886,0.003664892,0.4177768,0.2243836,0.0008797674,0.004353927,0.0004710488,0.004386333,0.2673548],"genre_scores_gemma":[0.5476019,0.004677271,0.3878186,0.01127493,0.0004712758,0.004380058,0.000474446,0.0008577685,0.04244379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07740844,"threshold_uncertainty_score":0.4093798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104677990378157,"score_gpt":0.2593250974460349,"score_spread":0.1546471070678779,"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."}}