{"id":"W2891116187","doi":"10.18438/eblip29491","title":"Time to Move EBLIP Forward with an Organizational Lens","year":2018,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lens (geology); Through-the-lens metering; Computer science; Optics; Physics","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":[0.02827499,0.0006255147,0.0005628131,0.001488735,0.003830014,0.01140988,0.001914179,0.0112141,0.1138912],"category_scores_gemma":[0.05552669,0.0004498276,0.001245875,0.001539839,0.002391518,0.01379334,0.007968985,0.01256767,0.0262931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004820586,"about_ca_system_score_gemma":0.02746823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007073297,"about_ca_topic_score_gemma":0.01410374,"domain_scores_codex":[0.9884725,0.004566029,0.001148974,0.0005006571,0.003440923,0.001870868],"domain_scores_gemma":[0.9371277,0.01959137,0.002264775,0.003244079,0.02008581,0.01768629],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005046593,0.0002611149,0.000937307,0.001705798,0.00003468917,0.000410164,0.0007717816,0.0002683866,0.001008873,0.03874571,0.6928523,0.2624993],"study_design_scores_gemma":[0.0001022254,0.0003322477,0.001997383,0.003598071,0.00004155939,0.0002516418,0.004386088,0.0002160326,0.0008233761,0.01888097,0.969304,0.00006645867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001358265,0.009708515,0.005972616,0.9269031,0.03554584,0.0001885005,0.0004677954,0.0002279725,0.01962751],"genre_scores_gemma":[0.08364096,0.03611706,0.06893915,0.6063525,0.02954187,0.00171272,0.002173504,0.0005640273,0.1709582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971725,"threshold_uncertainty_score":0.381004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05587081639696338,"score_gpt":0.3800588796727032,"score_spread":0.3241880632757398,"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."}}