{"id":"W2276394793","doi":"10.18438/b8360r","title":"Teams Are Now Used by Many Technical Services Departments in Academic Libraries","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Medical education; Psychology; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005651641,0.0002327718,0.0004169744,0.002434125,0.004051251,0.005485228,0.001448713,0.0008282567,0.01744377],"category_scores_gemma":[0.01724215,0.0005332382,0.0003951039,0.003679378,0.00196017,0.003349225,0.00627132,0.0009628389,0.004011023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358508,"about_ca_system_score_gemma":0.005912512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006256414,"about_ca_topic_score_gemma":0.01049756,"domain_scores_codex":[0.9808437,0.009765562,0.001349929,0.00133572,0.004538241,0.002166851],"domain_scores_gemma":[0.9670842,0.007469412,0.0120571,0.00145779,0.00383589,0.00809567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002482177,0.0007825268,0.5339208,0.001553366,0.00009451763,0.001344097,0.1349999,0.0003147104,0.002563774,0.002279109,0.02239772,0.2995013],"study_design_scores_gemma":[0.00005258882,0.001057258,0.572542,0.001108712,0.0000626815,0.002369894,0.2654943,0.0004379964,0.001094437,0.001162971,0.1545167,0.0001003763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776384,0.001589823,0.001032738,0.002997359,0.00006771967,0.00007516945,0.0002011827,0.0001031051,0.0162944],"genre_scores_gemma":[0.9854681,0.001810358,0.00220939,0.001648779,0.0000965046,0.0001107778,0.0003265425,0.00005772971,0.008271833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01744377,"threshold_uncertainty_score":0.05835527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166541706616829,"score_gpt":0.3038761206624573,"score_spread":0.2872219500007744,"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."}}