{"id":"W2899412640","doi":"10.1108/rsr-07-2018-0060","title":"Let’s chat: the art of virtual reference instruction","year":2018,"lang":"en","type":"article","venue":"Reference Services Review","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information literacy; Library instruction; Computer science; Originality; Digital reference; Promotion (chess); World Wide Web; Literacy; Library science; Mathematics education; Psychology; Pedagogy; Service (business); Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009022166,0.0001050918,0.0002041746,0.00004776484,0.0004457878,0.00009391692,0.0008640352,0.00006269842,0.002293914],"category_scores_gemma":[0.00005682621,0.00006523192,0.00004916198,0.000800785,0.0004283637,0.005194217,0.00008683281,0.0001255215,0.00147487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001970951,"about_ca_system_score_gemma":0.0001789765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004320873,"about_ca_topic_score_gemma":0.0002028008,"domain_scores_codex":[0.9984281,0.000192392,0.0004411591,0.000169438,0.0005346245,0.0002342711],"domain_scores_gemma":[0.998832,0.00005183662,0.0003458899,0.0003695708,0.0003161035,0.0000845547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000120103,0.00003096383,0.0009038438,0.0011444,0.00001538115,2.684762e-7,0.01299201,5.843053e-7,0.00005550158,0.5198806,0.00593127,0.4590332],"study_design_scores_gemma":[0.00005210976,0.0000672465,0.00175118,0.001084166,0.00001004726,0.000001243808,0.001496772,0.00002424405,0.00006348802,0.0005944904,0.994765,0.00008999443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09874788,0.01223214,0.00005464863,0.01971986,0.001036383,0.001120314,0.00003500296,0.0001690476,0.8668847],"genre_scores_gemma":[0.818927,0.1485627,0.0003205604,0.02554417,0.0004596388,0.00003850188,0.00007030879,0.000009795936,0.00606729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9888337,"threshold_uncertainty_score":0.9993026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03496624989219526,"score_gpt":0.3246308900167173,"score_spread":0.289664640124522,"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."}}