{"id":"W2599019031","doi":"10.18438/b87634","title":"Embeddedness Creates Opportunities for Enhanced Library Liaison Services and Relationships","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Embeddedness; Reference desk; Library science; Descriptive statistics; Documentation; Service (business); Tracking (education); Computer science; Sociology; Desk; Business; Marketing; Statistics; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0007613139,0.0001169096,0.0001136622,0.0001070764,0.003015782,0.004428366,0.0003590595,0.0001130076,0.0001537779],"category_scores_gemma":[0.001492053,0.000109703,0.00002775759,0.0001104694,0.0003405581,0.5698354,0.00008758036,0.0001294274,0.00001048885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003423608,"about_ca_system_score_gemma":0.0004628701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002781936,"about_ca_topic_score_gemma":9.138403e-7,"domain_scores_codex":[0.9988632,0.0002424917,0.0002971797,0.000166213,0.0002365919,0.0001942853],"domain_scores_gemma":[0.9970053,0.001974448,0.0005281584,0.0002463281,0.00004970823,0.0001960059],"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":[0.0003879351,0.00003130987,0.007559786,0.0002773224,0.00001146133,0.000002708461,0.006869957,0.00001386758,0.00003595411,0.9582389,0.002055465,0.02451535],"study_design_scores_gemma":[0.0003786876,0.0001890976,0.02041329,0.0004351377,0.00003664101,0.000003710065,0.04668317,0.001967139,0.003841852,0.003795643,0.9219605,0.0002951083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1718414,0.0008535628,0.002305131,0.6218686,0.0006722439,0.001379402,0.00009203635,0.0004859436,0.2005017],"genre_scores_gemma":[0.9647213,0.004845354,0.006113272,0.02038718,0.0002343007,0.0000671059,0.0001092215,0.000008955551,0.00351328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9544432,"threshold_uncertainty_score":0.9982821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09317794717528101,"score_gpt":0.3316751069586995,"score_spread":0.2384971597834185,"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."}}