{"id":"W3117683421","doi":"10.15760/comminfolit.2020.14.2.2","title":"Teaching and User Satisfaction in an Academic Chat Reference Consortium","year":2020,"lang":"en","type":"article","venue":"Communications in Information Literacy","topic":"Web and Library Services","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Library instruction; Information literacy; Psychology; Academic library; Higher education; Academic advising; User satisfaction; World Wide Web; Medical education; Mathematics education; Pedagogy; Computer science; Library science; Political science; Medicine; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003865105,0.0001573318,0.0004442669,0.001552696,0.001443774,0.002154278,0.0004432352,0.0004593131,0.004433753],"category_scores_gemma":[0.02931358,0.0001855914,0.000328248,0.001650771,0.0005665252,0.0008680381,0.001288406,0.0006013869,0.0006305781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009944158,"about_ca_system_score_gemma":0.001185548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007348122,"about_ca_topic_score_gemma":0.009494736,"domain_scores_codex":[0.9954567,0.002336188,0.0003932255,0.0002582136,0.001133091,0.0004225762],"domain_scores_gemma":[0.965752,0.01469629,0.006974576,0.001077051,0.006082388,0.005417682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004127128,0.0006440728,0.9524288,0.00004195434,0.00003920332,0.0006442611,0.01711703,0.0001197467,0.001112809,0.00005198705,0.000421672,0.02696584],"study_design_scores_gemma":[0.00001224576,0.001017282,0.9601465,0.00002073794,0.00002785193,0.000744639,0.03522857,0.001065277,0.0005247748,0.00003122542,0.001148656,0.00003218189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999406,0.0000192416,0.00007850151,0.00002920627,0.000002409462,0.000007159217,0.00002306743,0.000007169336,0.0004272319],"genre_scores_gemma":[0.9994389,0.00002062045,0.00009215694,0.00002323147,0.000005515665,0.00000791908,0.0000422319,0.000005030915,0.0003643406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978457,"threshold_uncertainty_score":0.02044088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04521409590193554,"score_gpt":0.3206750159784906,"score_spread":0.275460920076555,"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."}}