{"id":"W1912724688","doi":"10.18438/b8f617","title":"Reference Desk Employees Need Both Research Knowledge and Technical Skills for Successful Reference Transactions","year":2014,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reference desk; Computer science; Phone; Digital reference; Database transaction; Copying; Service (business); Library science; World Wide Web; Database; Business","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00949984,0.0002796084,0.0004334443,0.002032626,0.001861985,0.004319359,0.0009530504,0.00101909,0.02322536],"category_scores_gemma":[0.03793121,0.0003406839,0.0003571155,0.002581442,0.001379964,0.004753221,0.002432482,0.001005371,0.01146283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797157,"about_ca_system_score_gemma":0.005670752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004663788,"about_ca_topic_score_gemma":0.00814584,"domain_scores_codex":[0.9929855,0.002145343,0.0007407473,0.0006342932,0.002845132,0.0006489395],"domain_scores_gemma":[0.9372095,0.0209586,0.007047506,0.006242678,0.02267255,0.005869114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001373689,0.0009090046,0.1169798,0.001839074,0.00006672168,0.0007860749,0.02828499,0.000235693,0.005595216,0.005559748,0.05225008,0.7873562],"study_design_scores_gemma":[0.00005334651,0.001394979,0.5094581,0.001861267,0.00006780227,0.001721042,0.06455526,0.0005227415,0.003805943,0.00707861,0.4093002,0.0001807868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8054876,0.0107514,0.01509572,0.02585606,0.0006241846,0.00034374,0.001260412,0.001095661,0.1394853],"genre_scores_gemma":[0.9059945,0.007116646,0.02247103,0.003963251,0.0004593723,0.0002887023,0.001669617,0.0001919886,0.05784492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9956806,"threshold_uncertainty_score":0.07769662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03896569812485538,"score_gpt":0.3104161977921028,"score_spread":0.2714504996672474,"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."}}