{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003437633,0.0003446013,0.000407303,0.002078157,0.005305646,0.01057137,0.001469763,0.001525855,0.04282528],"category_scores_gemma":[0.01024002,0.0005111161,0.0004257364,0.001773917,0.004106388,0.01163378,0.01499203,0.001934796,0.005853251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00280296,"about_ca_system_score_gemma":0.005610899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001176,"about_ca_topic_score_gemma":0.005990381,"domain_scores_codex":[0.9945955,0.002852026,0.0002153419,0.0005615674,0.0009562188,0.0008193702],"domain_scores_gemma":[0.9892953,0.003035319,0.001523555,0.00100771,0.001084611,0.004053405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002854668,0.001437498,0.06651032,0.001942137,0.0001611256,0.004065228,0.1261557,0.0005591867,0.005196702,0.1389668,0.05357929,0.6011406],"study_design_scores_gemma":[0.00007850166,0.0004451355,0.07211974,0.001168036,0.00008602215,0.002551117,0.1635967,0.0005040866,0.001535533,0.06351752,0.6942862,0.0001113293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5325857,0.01007141,0.02127788,0.04441928,0.0008080348,0.0002091731,0.0002606258,0.001136453,0.3892315],"genre_scores_gemma":[0.9468806,0.002565821,0.008897672,0.002934379,0.000387014,0.00009649833,0.0001335741,0.000174153,0.03793015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04282528,"threshold_uncertainty_score":0.1432648,"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."}}