{"id":"W2564115797","doi":"10.18438/b8t320","title":"Secret Shopping is an Effective Tool for Identifying Local Patterns in Library User Experience","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bow Valley College","funders":"","keywords":"Certificate; Desk; Service (business); Database transaction; Medical education; Psychology; Internet privacy; World Wide Web; Business; Computer science; Marketing; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006475016,0.0004959998,0.0006439437,0.005521358,0.001076975,0.002269522,0.0006191458,0.000481835,0.009681858],"category_scores_gemma":[0.01831612,0.0004939677,0.0007106856,0.003240622,0.0004136693,0.004325735,0.0028535,0.0004893297,0.0026552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006583799,"about_ca_system_score_gemma":0.001064244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571219,"about_ca_topic_score_gemma":0.006891821,"domain_scores_codex":[0.9963725,0.001583782,0.0006101739,0.0002518668,0.001005044,0.0001766115],"domain_scores_gemma":[0.9818987,0.01041019,0.002233514,0.001502548,0.003147151,0.0008079388],"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":[0.0006499615,0.000730571,0.2484765,0.0023528,0.0001333257,0.0004600313,0.03412254,0.000258377,0.002939736,0.001305541,0.04312647,0.6654442],"study_design_scores_gemma":[0.0001506421,0.001371519,0.8305219,0.001564343,0.0001623516,0.001135863,0.0497977,0.002856689,0.003165037,0.002061447,0.1069003,0.0003121326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997027,0.001133578,0.02249429,0.001286169,0.0002763857,0.004695441,0.007617841,0.002420406,0.06037319],"genre_scores_gemma":[0.8777207,0.001641505,0.09558301,0.0007080194,0.0001804065,0.007108794,0.00428188,0.0002734635,0.01250229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009681858,"threshold_uncertainty_score":0.03424358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07395909966955594,"score_gpt":0.3749834998258773,"score_spread":0.3010244001563213,"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."}}