{"id":"W2683090802","doi":"10.29173/cais210","title":"Re-Conceptualizing the ‘Reference Transaction’ – The Case for Interaction and Information Relationships at the Public Library Reference Desk","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Science and Administration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interview; Library science; Ethnography; Desk; Sociology; Political science; Computer science; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001558083,0.0002661147,0.0002572246,0.00008875623,0.002297026,0.007347913,0.001512119,0.0002482384,0.0002624036],"category_scores_gemma":[0.006962967,0.0001422421,0.0001349791,0.0008173249,0.0024627,0.08172356,0.00029343,0.0005983984,0.00001940522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007332128,"about_ca_system_score_gemma":0.0005214511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152056,"about_ca_topic_score_gemma":0.0006804587,"domain_scores_codex":[0.9978149,0.0002408973,0.0007105411,0.0002853701,0.0004806289,0.0004676512],"domain_scores_gemma":[0.9877841,0.001593183,0.001245639,0.00026438,0.008956922,0.0001557816],"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":[0.0001506263,0.0001036934,0.02903256,0.0003526496,0.0001193272,9.018464e-7,0.3173926,0.00001693427,0.0007594438,0.5667266,0.02968219,0.05566243],"study_design_scores_gemma":[0.0003730351,0.0003055089,0.02101962,0.0002735869,0.0001519952,0.0001507373,0.2580981,0.002035995,0.002286928,0.02193113,0.6930281,0.0003453186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8292657,0.0004856229,0.00007476308,0.1518103,0.000466906,0.001274531,0.0002299576,0.00003740448,0.01635487],"genre_scores_gemma":[0.9942842,0.0007024257,0.0001621238,0.001005557,0.0001634195,0.0001651807,0.00002314085,0.00001287123,0.003481147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6633459,"threshold_uncertainty_score":0.9990019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07632812457751914,"score_gpt":0.2797704076670059,"score_spread":0.2034422830894868,"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."}}