{"id":"W3013252050","doi":"10.18438/eblip29639","title":"Understanding EBLIP at an Organizational Level: An Initial Maturity Model","year":2020,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Capability Maturity Model; Context (archaeology); Best practice; Service (business); Thematic analysis; Knowledge management; Library science; Public relations; Computer science; Psychology; Sociology; Business; Management; Political science; Marketing; Qualitative research; Social science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01451521,0.0005666019,0.0002468838,0.003490619,0.002204202,0.007942411,0.001564168,0.002618713,0.003802074],"category_scores_gemma":[0.02500187,0.0005548238,0.0009758817,0.001903313,0.004956407,0.01471309,0.005796959,0.00283624,0.0007338875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008334786,"about_ca_system_score_gemma":0.009731894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047101,"about_ca_topic_score_gemma":0.002942886,"domain_scores_codex":[0.9939573,0.003122186,0.0005144853,0.0005415682,0.001033699,0.0008307472],"domain_scores_gemma":[0.9745557,0.01220537,0.002780258,0.00134459,0.006762956,0.002351139],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001861094,0.0009839701,0.1586776,0.001132581,0.00008935717,0.0009251477,0.1331241,0.009471691,0.003793673,0.5469907,0.002597026,0.1420281],"study_design_scores_gemma":[0.0001101568,0.001155872,0.123365,0.003883511,0.0001666171,0.001083212,0.2806718,0.1162043,0.005212488,0.4116513,0.05631914,0.0001765175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6636776,0.001227353,0.2050996,0.01780973,0.00006100239,0.001511129,0.0003386161,0.0001930411,0.1100819],"genre_scores_gemma":[0.9626293,0.0002189767,0.03535516,0.0001447374,0.000008221307,0.0003536193,0.0001209083,0.00001001099,0.00115903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9854848,"threshold_uncertainty_score":0.07676464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4244372543261986,"score_gpt":0.4716305505001115,"score_spread":0.04719329617391294,"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."}}