{"id":"W3035787119","doi":"10.18438/eblip29727","title":"Analysis of Question Type Can Help Inform Chat Staffing Decisions","year":2020,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Staffing; Citation; Service (business); Digital reference; Computer science; World Wide Web; Chat room; Mandate; Online discussion; Library science; Medical education; Psychology; Medicine; The Internet; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.1289945,0.001288934,0.001542469,0.01414445,0.002404565,0.006029243,0.002385305,0.00162903,0.0143763],"category_scores_gemma":[0.3704523,0.0007002738,0.001357118,0.01068418,0.002190299,0.009799711,0.004869067,0.002149064,0.005506764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005126963,"about_ca_system_score_gemma":0.005812281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004266516,"about_ca_topic_score_gemma":0.007920046,"domain_scores_codex":[0.8855497,0.07223701,0.01728804,0.007274519,0.01578293,0.001867735],"domain_scores_gemma":[0.4468372,0.3782359,0.05855783,0.01611336,0.0965202,0.003735554],"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":[0.001193224,0.0005931449,0.1808776,0.01006198,0.0003020336,0.0004566475,0.1462836,0.0006230477,0.006653436,0.01746159,0.04910107,0.5863926],"study_design_scores_gemma":[0.0002078248,0.001156391,0.3385157,0.01594451,0.0004640049,0.0006498457,0.1969021,0.005842847,0.01161497,0.04665849,0.3813034,0.0007399062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6182857,0.009259945,0.2297332,0.02631342,0.003520455,0.01317734,0.01752197,0.002151824,0.08003608],"genre_scores_gemma":[0.7025123,0.004588906,0.239091,0.006175702,0.0009545189,0.02091671,0.008942243,0.0009406736,0.015878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1289945,"threshold_uncertainty_score":0.6821964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262200968378612,"score_gpt":0.2608769813570918,"score_spread":0.2382549716733056,"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."}}