{"id":"W4380786204","doi":"10.18438/eblip30293","title":"Finding Out Is Better: Becoming a Librarian-Researcher","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; World Wide Web; Data science; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.05302555,0.0005992128,0.00124777,0.002842195,0.02677628,0.039305,0.002552309,0.01204983,0.01481535],"category_scores_gemma":[0.10423,0.001092597,0.0007880646,0.00321298,0.02173593,0.04342339,0.01982066,0.02305247,0.01109579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006541756,"about_ca_system_score_gemma":0.02885089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003379049,"about_ca_topic_score_gemma":0.008915124,"domain_scores_codex":[0.9178746,0.0671861,0.001766846,0.002773397,0.006404412,0.003994749],"domain_scores_gemma":[0.8891416,0.04256204,0.004692503,0.004192987,0.01590205,0.04350887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004028565,0.0002096995,0.002890927,0.0003888353,0.0000285164,0.0008270334,0.2123634,0.00002689439,0.0002964584,0.02450173,0.691577,0.06684926],"study_design_scores_gemma":[0.00003423072,0.0001095024,0.001070967,0.001169555,0.00002166447,0.0009443022,0.3369203,0.00007775322,0.0002310544,0.01770364,0.6416493,0.00006785716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009349348,0.01945862,0.002315164,0.9141015,0.008322619,0.00009210493,0.0000270574,0.000294767,0.04603882],"genre_scores_gemma":[0.1805103,0.03403224,0.01168451,0.6630957,0.004006091,0.0007298174,0.0001529242,0.0004625153,0.1053261],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05302555,"threshold_uncertainty_score":0.2804293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0738165596028415,"score_gpt":0.361507384686384,"score_spread":0.2876908250835425,"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."}}