{"id":"W3036227215","doi":"10.18438/eblip29728","title":"Welcome to the Library: Data-Driven Student Worker Empowerment","year":2020,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Empowerment; World Wide Web; Library science; Data science; Mathematics education; Sociology; Psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003489119,0.0001270891,0.0001127327,0.00007175306,0.0002089259,0.001828844,0.001778585,0.00003619612,0.00008654676],"category_scores_gemma":[0.0006766429,0.00008973768,0.00002571872,0.0007810329,0.00002312924,0.2235536,0.001493046,0.0002942606,0.0004072992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003605795,"about_ca_system_score_gemma":0.0001796161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.917067e-7,"about_ca_topic_score_gemma":1.234138e-8,"domain_scores_codex":[0.9986596,0.0002355467,0.0003387579,0.0002479625,0.0003454234,0.0001727614],"domain_scores_gemma":[0.9979451,0.0008374888,0.0002197503,0.0007453735,0.00002323783,0.0002290703],"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":[0.0003500374,0.0001736731,0.006700391,0.0001391509,0.0001045741,0.00003870781,0.00591775,0.03449943,0.00001110827,0.4604944,0.3948882,0.09668252],"study_design_scores_gemma":[0.0001108827,0.0001335353,0.003397098,0.0000762896,0.00001151908,0.000004077596,0.0003207149,0.2273524,0.00002566757,0.00002797103,0.7684336,0.0001062756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000784251,0.0002320971,0.07251246,0.9240226,0.0002164516,0.0002352701,0.00001273734,0.0002795972,0.00170453],"genre_scores_gemma":[0.2188872,0.0009096538,0.1000272,0.6791093,0.0005609932,0.00001814084,0.0001208192,0.00001404302,0.0003526643],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4604664,"threshold_uncertainty_score":0.9992074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669309777161873,"score_gpt":0.2976400690688848,"score_spread":0.2709469712972661,"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."}}