{"id":"W2518274222","doi":"10.1111/hir.12151","title":"Demonstrating the financial impact of clinical libraries: a systematic review","year":2016,"lang":"en","type":"review","venue":"Health Information & Libraries Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"Medical Library Association","keywords":"Revenue; Computer science; Robustness (evolution); Finance; Actuarial science; Business","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02832355,0.001705042,0.005888224,0.02275093,0.001006498,0.006332083,0.002549568,0.002575329,0.006926889],"category_scores_gemma":[0.1361742,0.001096645,0.005698281,0.02367466,0.001456477,0.005801943,0.002910804,0.001618864,0.0005782471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007328264,"about_ca_system_score_gemma":0.02629881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006012078,"about_ca_topic_score_gemma":0.01706075,"domain_scores_codex":[0.9687127,0.01311777,0.008211237,0.001137331,0.008173415,0.0006473879],"domain_scores_gemma":[0.8625393,0.1071998,0.01876552,0.001259501,0.009280914,0.0009549172],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001850346,0.00003462593,0.001093838,0.9013653,0.004725553,0.00008657826,0.0002945086,0.0001118449,0.00006468063,0.0006683859,0.00280396,0.08856574],"study_design_scores_gemma":[0.0001514782,0.0001837596,0.003133283,0.9494855,0.02059216,0.0003309432,0.0006709476,0.00007762048,0.0001562874,0.0005363265,0.02464391,0.00003767015],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009718728,0.9969096,0.0001735171,0.0005960077,0.0001366946,0.0003801523,0.0002376642,0.000007227388,0.0005872551],"genre_scores_gemma":[0.01299182,0.9846365,0.0008816267,0.000518162,0.000104084,0.0006050678,0.0001468959,0.000004300997,0.0001114899],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9936679,"threshold_uncertainty_score":0.149791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.345928260675171,"score_gpt":0.5956802040527659,"score_spread":0.2497519433775949,"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."}}