{"id":"W4221104144","doi":"10.18438/eblip30084","title":"A Case Study on How Reference Staffing and Visibility Models Impact Patron Behaviors","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Reference desk; Service (business); Computer science; Digital reference; Visibility; Database transaction; World Wide Web; Library science; Business; Political science; Database; Marketing; Geography","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":[0.01279839,0.0004099518,0.0004806269,0.002166318,0.005797668,0.003433294,0.001684525,0.001693506,0.008228568],"category_scores_gemma":[0.0323514,0.0005233834,0.0008301974,0.003194832,0.002078111,0.004713365,0.003290498,0.001942421,0.0008587448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005885085,"about_ca_system_score_gemma":0.004448766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153574,"about_ca_topic_score_gemma":0.04512154,"domain_scores_codex":[0.9887295,0.007926388,0.000506121,0.0006834391,0.00126848,0.0008860145],"domain_scores_gemma":[0.9749477,0.01616745,0.002944571,0.001602092,0.003010174,0.001327951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003567947,0.003139046,0.493725,0.0009236605,0.0001112562,0.01529008,0.3340736,0.0006666851,0.001365428,0.0107569,0.01285873,0.1267327],"study_design_scores_gemma":[0.000092514,0.001371375,0.2174845,0.001156422,0.0001750298,0.009160019,0.6960797,0.003466304,0.00272706,0.003880445,0.06423666,0.0001698697],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984576,0.0009905673,0.002427767,0.002307983,0.00004251554,0.0002176595,0.0001503819,0.00002462531,0.009262545],"genre_scores_gemma":[0.9863576,0.00129343,0.005919725,0.0005579751,0.00003080786,0.0002438512,0.0001318379,0.00003156107,0.005433281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153574,"threshold_uncertainty_score":0.06768513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535545133727693,"score_gpt":0.3438103171805115,"score_spread":0.2902558038077422,"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."}}