{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001156659,0.0001033529,0.0001044482,0.0001332555,0.001455572,0.0002028763,0.0002201232,0.0001272652,0.001813477],"category_scores_gemma":[0.00392744,0.00009474935,0.00001210015,0.0006567693,0.0000712866,0.2385918,0.000125405,0.0004906104,0.0002654053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009487863,"about_ca_system_score_gemma":0.002496001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559255,"about_ca_topic_score_gemma":7.644035e-7,"domain_scores_codex":[0.9976966,0.0008006199,0.0004859598,0.0001893358,0.0004886582,0.0003388687],"domain_scores_gemma":[0.9970983,0.001536618,0.0002971734,0.0001693087,0.0001481954,0.0007504453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004022651,0.0002081676,0.0217244,0.001909565,0.0000164221,0.000005327623,0.04095748,0.005732259,0.0003271805,0.7999622,0.123098,0.002036323],"study_design_scores_gemma":[0.0007482695,0.0005169336,0.01240944,0.0002216408,0.00001416463,0.000006130408,0.01994261,0.8436705,0.0002250072,0.001760953,0.1201842,0.0003000968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1058548,0.0001078962,0.1837134,0.6885161,0.0006901197,0.001641856,0.0001944321,0.0005247518,0.01875665],"genre_scores_gemma":[0.7545503,0.0002693944,0.01028587,0.2339265,0.0003982294,0.0000309935,0.0004183679,0.00001065773,0.0001096862],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8379383,"threshold_uncertainty_score":0.9998444,"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."}}