{"id":"W4214813513","doi":"10.5860/crl.83.2.314","title":"An Exploration of Business Librarian Participation in Knowledge Synthesis Reviews","year":2022,"lang":"en","type":"article","venue":"College & Research Libraries","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Knowledge management; Knowledge creation; Service (business); Business; Computer science; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002382543,0.0001587776,0.0003420915,0.001108458,0.0005766674,0.0004243885,0.0008720274,0.00005775288,0.002077857],"category_scores_gemma":[0.001560579,0.0001514657,0.0000439697,0.005969196,0.0002532268,0.0173908,0.0008306942,0.0002998591,0.0001332329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004498758,"about_ca_system_score_gemma":0.0002622948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003874977,"about_ca_topic_score_gemma":0.0003204573,"domain_scores_codex":[0.9977032,0.0003540097,0.0005628386,0.0003960505,0.0005635968,0.0004203201],"domain_scores_gemma":[0.9985523,0.0003207,0.0001887188,0.0005678939,0.0003461248,0.0000242466],"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":[0.0008494579,0.002443956,0.02632645,0.001890894,0.00002186175,0.00004546241,0.001345532,0.0006459141,0.001589931,0.804162,0.0833172,0.07736138],"study_design_scores_gemma":[0.0003726943,0.00006109832,0.03778742,0.0002558655,0.00002321388,0.000001271526,0.003832803,0.01049184,0.002438901,0.03149211,0.9128196,0.0004231755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590575,0.01274861,0.006402837,0.01380773,0.002860286,0.006408934,0.0004180225,0.0005973923,0.09769872],"genre_scores_gemma":[0.997246,0.0001823285,0.000228082,0.0001234339,0.0004361502,0.001058763,0.0001804715,0.00003253381,0.0005122067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8295024,"threshold_uncertainty_score":0.9988344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3529977073139671,"score_gpt":0.4104103279009618,"score_spread":0.05741262058699476,"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."}}