{"id":"W1530421178","doi":"10.18438/b88k6c","title":"Interactions: A Study of Office Reference Statistics","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reference desk; Staffing; Subject (documents); Desk; Service (business); Library science; Collection development; Work (physics); Service desk; Value (mathematics); Order (exchange); Public relations; Sociology; Computer science; World Wide Web; Medical education; Business; Political science; Marketing; Medicine; Engineering; Service delivery framework","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02493484,0.000214728,0.000553382,0.003639749,0.004171565,0.006679379,0.001684067,0.001262034,0.008196922],"category_scores_gemma":[0.15279,0.000475381,0.0003774337,0.006801857,0.00370458,0.006336472,0.003329783,0.002134406,0.0008406526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005628143,"about_ca_system_score_gemma":0.004689083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078575,"about_ca_topic_score_gemma":0.01263709,"domain_scores_codex":[0.9092235,0.07268035,0.002356039,0.002683427,0.009936262,0.003120425],"domain_scores_gemma":[0.6491926,0.2718466,0.05427819,0.005582729,0.01520172,0.003898106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000591996,0.001226087,0.5007717,0.0003062889,0.0001376759,0.001180137,0.3787315,0.0004139557,0.0005657208,0.02030095,0.00874212,0.08703183],"study_design_scores_gemma":[0.00009994845,0.001205237,0.5417902,0.0004753421,0.0000855711,0.0009369748,0.3604057,0.003893499,0.0009749205,0.006579243,0.08343543,0.0001178612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544592,0.0007791305,0.003077381,0.003378099,0.0000393634,0.00009704664,0.0002459828,0.00006237959,0.03786148],"genre_scores_gemma":[0.9956061,0.0002255927,0.001252662,0.0005334197,0.00007130565,0.0001022795,0.0001100495,0.00005572447,0.002042829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963602,"threshold_uncertainty_score":0.1318696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401755735593232,"score_gpt":0.3395985803483867,"score_spread":0.2994230067890635,"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."}}