{"id":"W4411234453","doi":"10.18438/eblip30675","title":"Thank You for Your Suggestion! Analyzing Patron Purchase Requests at the University of Alberta Library","year":2025,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Mormonism, Religion, and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Provincial Laboratory of Public Health","funders":"","keywords":"Computer science; Library science; World Wide Web; Advertising; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005238633,0.0007604749,0.0007105136,0.009765562,0.002754246,0.006403427,0.00169067,0.001326335,0.02313304],"category_scores_gemma":[0.03973364,0.0005734108,0.0007762963,0.01522952,0.001224814,0.0033637,0.002475953,0.001603324,0.02272382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009672103,"about_ca_system_score_gemma":0.01409865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5769094,"about_ca_topic_score_gemma":0.7182283,"domain_scores_codex":[0.9891,0.001500771,0.0007153116,0.001086349,0.006328416,0.001268948],"domain_scores_gemma":[0.9396998,0.01416032,0.006673383,0.004495709,0.02940232,0.005568407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001854495,0.0001209554,0.2868362,0.001106938,0.00005803301,0.0006796835,0.01034557,0.0004361771,0.001895646,0.001426894,0.5673115,0.129597],"study_design_scores_gemma":[0.00002182355,0.00006077369,0.3887456,0.0009854798,0.00005916054,0.0006017037,0.02993052,0.001680797,0.001636026,0.001003279,0.5750817,0.0001931782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.535548,0.0119264,0.01344193,0.0922976,0.003685168,0.001940272,0.2495316,0.007254042,0.08437503],"genre_scores_gemma":[0.5636081,0.009613885,0.07122838,0.01997184,0.00186636,0.001755671,0.1676726,0.00464624,0.1596369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9935966,"threshold_uncertainty_score":0.8511645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638834444689766,"score_gpt":0.2252208433265116,"score_spread":0.208832498879614,"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."}}