{"id":"W4389776929","doi":"10.1080/1941126x.2023.2271376","title":"Boosting the Knowledge Economy: Key Contributions from Information Services in Educational, Cultural and Corporate Environments <b>Boosting the Knowledge Economy: Key Contributions from Information Services in Educational, Cultural and Corporate Environments</b> . (2022), edited by Francisco-Javier Calzada-Prado. Chandos Publishing, 213 pp., ISBN 978-1-84334-772-9 $78.95 (paper)","year":2023,"lang":"en","type":"article","venue":"Journal of Electronic Resources Librarianship","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Boosting (machine learning); Key (lock); Knowledge economy; Knowledge management; Business; Computer science; Artificial intelligence","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":[0.001544866,0.001128185,0.0007498072,0.001910938,0.001600775,0.01050898,0.0007085236,0.003774214,0.009369113],"category_scores_gemma":[0.001775622,0.0005005322,0.0004613868,0.004669569,0.00421511,0.01123171,0.003556529,0.004426747,0.005572012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003051838,"about_ca_system_score_gemma":0.005223076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003587117,"about_ca_topic_score_gemma":0.005740038,"domain_scores_codex":[0.998751,0.0003904797,0.00004911494,0.0000923431,0.0005276614,0.0001892762],"domain_scores_gemma":[0.998881,0.0006114689,0.000068459,0.00004824177,0.0001954565,0.0001953632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000228215,0.00004627597,0.0001937598,0.001581219,0.00002291568,0.0001188148,0.001179505,0.0003009616,0.0003837207,0.1662932,0.5297938,0.300063],"study_design_scores_gemma":[0.000003012004,0.00001019934,0.0004187041,0.0009112756,0.00000591267,0.0001347449,0.0007712484,0.0001095677,0.0001989563,0.03611557,0.9613102,0.000010633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001329235,0.7129607,0.003988495,0.07662421,0.009616981,0.00003670493,0.00006333298,0.0001356992,0.1952446],"genre_scores_gemma":[0.02989115,0.8287581,0.007322229,0.01437848,0.007596524,0.00006685728,0.0001627761,0.0001767617,0.1116471],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01050898,"threshold_uncertainty_score":0.0313428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494367140304959,"score_gpt":0.2120783162636924,"score_spread":0.1971346448606428,"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."}}