{"id":"W1269521234","doi":"","title":"Library Collection Development for Professional Programs: Trends and Best Practices","year":2013,"lang":"en","type":"article","venue":"Library Resources and Technical Services","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collection development; Library science; Subject (documents); Cataloging; Computer science; Certification; Best practice; Professional development; Selection (genetic algorithm); Metadata; Government (linguistics); Sociology; World Wide Web; Public relations; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.05207665,0.001331181,0.001671771,0.02374107,0.0039159,0.04099811,0.007551389,0.004186975,0.02044349],"category_scores_gemma":[0.06856471,0.002393526,0.001459001,0.07635694,0.007842383,0.03390132,0.01129767,0.007061431,0.02153274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02020928,"about_ca_system_score_gemma":0.04047361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04275326,"about_ca_topic_score_gemma":0.03541353,"domain_scores_codex":[0.9504531,0.0139173,0.007610711,0.005328831,0.02079317,0.001896886],"domain_scores_gemma":[0.8845803,0.03969793,0.01020502,0.0102294,0.04498686,0.01030045],"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":[0.0000280756,0.00007361439,0.001794063,0.005378176,0.00003507884,0.00006669332,0.004586596,0.000238094,0.0002395548,0.01941497,0.2937028,0.6744424],"study_design_scores_gemma":[0.000006827089,0.0000176194,0.002703905,0.005425242,0.00001373196,0.00019511,0.003907074,0.0001004555,0.0002139841,0.002298564,0.9850818,0.00003566879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005137155,0.6731317,0.02108796,0.1789557,0.004126698,0.0008445409,0.003777601,0.004525251,0.1084133],"genre_scores_gemma":[0.02869686,0.8068681,0.07021962,0.01684369,0.002291846,0.001027552,0.007504809,0.003001338,0.06354615],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9590019,"threshold_uncertainty_score":0.275411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966583210477718,"score_gpt":0.2404313098139909,"score_spread":0.2207654777092137,"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."}}