{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002071797,0.0001517359,0.0001391579,0.0002710353,0.001953618,0.0016268,0.0002614239,0.00004520067,0.0004348837],"category_scores_gemma":[0.000742029,0.0001353899,0.00003584687,0.0007421967,0.0001217089,0.6365066,0.000218585,0.0003867414,0.000007805697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004851367,"about_ca_system_score_gemma":0.0005231254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003195254,"about_ca_topic_score_gemma":2.921979e-7,"domain_scores_codex":[0.9974173,0.0009903705,0.0003909297,0.0002183338,0.0007162556,0.000266795],"domain_scores_gemma":[0.9976902,0.001307483,0.0004169238,0.0002841259,0.00006908628,0.0002321632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.002516759,0.001378988,0.04559683,0.0001601184,0.00006326711,0.0005240864,0.2406395,0.0113835,0.00002217141,0.5864384,0.005917272,0.1053591],"study_design_scores_gemma":[0.001292259,0.003937717,0.01901708,0.00009149026,0.0000676041,0.0003915434,0.6249425,0.02843772,0.000040165,0.0005656612,0.3204705,0.0007458149],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616598,0.00008895977,0.0002479576,0.0330708,0.0001227809,0.0008826368,0.00005622582,0.0001533525,0.003717449],"genre_scores_gemma":[0.9763957,0.000131139,0.0004410941,0.02278509,0.00003055667,0.00007153588,0.00002834268,0.000004770507,0.0001118021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6348798,"threshold_uncertainty_score":0.9994096,"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."}}