{"id":"W2312363694","doi":"10.5860/rusq.49n1.72","title":"Transforming the One-Shot Library Session into Pedagogical Collaboration","year":2009,"lang":"en","type":"article","venue":"Reference & User Services Quarterly","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Conversation; Session (web analytics); Rhetoric; Focus (optics); Sociology; One shot; Library instruction; Composition (language); Pedagogy; Computer science; Linguistics; World Wide Web; Information literacy; Engineering; Communication; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003099649,0.0001478516,0.0001481281,0.00009055038,0.001094701,0.001139535,0.0008400596,0.0001370362,0.0006719294],"category_scores_gemma":[0.000005000423,0.0000994937,0.00004969951,0.000923785,0.00009607944,0.02875114,0.00001330638,0.000193949,0.0002103014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002559206,"about_ca_system_score_gemma":0.0002851509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002782753,"about_ca_topic_score_gemma":0.0002880295,"domain_scores_codex":[0.9981829,0.0002027766,0.0003807407,0.0002385269,0.0006365939,0.0003584953],"domain_scores_gemma":[0.9992353,0.00007588047,0.000145891,0.0002727638,0.00009507564,0.000175101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006093163,0.0001048195,0.00201536,0.00003873142,0.000006743211,0.000002101216,0.6127089,0.000006815045,0.0009375095,0.2492448,0.0007410715,0.1341321],"study_design_scores_gemma":[0.0002882656,0.0005753946,0.0172768,0.000126326,0.00001251306,0.000001040913,0.1562212,0.0002599164,0.0005205924,0.01676221,0.8076275,0.0003282404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050695,0.0001215361,0.0001501063,0.03415315,0.0002146337,0.0004228717,0.000007827051,0.0002599891,0.05960037],"genre_scores_gemma":[0.987122,0.0001325198,0.0004612723,0.01030057,0.0002745412,0.00001323957,0.00006781784,0.000005757848,0.001622274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8068864,"threshold_uncertainty_score":0.9998974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06600922887123753,"score_gpt":0.351475260169633,"score_spread":0.2854660312983955,"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."}}