{"id":"W1562903212","doi":"10.18438/b8dk70","title":"Collection Usage Pre- and Post-Summon Implementation at the University of Manitoba Libraries","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"World Wide Web; Computer science; Library science; Citation; Metadata; Database; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0150812,0.000408886,0.0006593032,0.004327165,0.003289543,0.005313428,0.00246882,0.0007081591,0.005898501],"category_scores_gemma":[0.0352172,0.0006611566,0.0008136771,0.005404667,0.001970704,0.002294881,0.005070596,0.001500671,0.001351607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01969989,"about_ca_system_score_gemma":0.03799826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3217222,"about_ca_topic_score_gemma":0.4284247,"domain_scores_codex":[0.9881548,0.003182646,0.0008312027,0.0007415097,0.004420565,0.002669271],"domain_scores_gemma":[0.9470519,0.009676501,0.01029283,0.002394372,0.02166696,0.008917433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008980571,0.001356048,0.8082292,0.001039678,0.0001630667,0.0006082038,0.04858372,0.0002206287,0.001666304,0.0005089318,0.005573096,0.1311531],"study_design_scores_gemma":[0.000009802125,0.0004034931,0.9772095,0.0001883879,0.000033796,0.00004966426,0.01580626,0.00004929628,0.0006325161,0.00002826149,0.005562335,0.00002662517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863832,0.000654151,0.0001388502,0.00171186,0.00003763605,0.0002934723,0.001037453,0.00007682369,0.009666467],"genre_scores_gemma":[0.9832145,0.001070952,0.0008724468,0.0007972201,0.00006608698,0.000583509,0.001531149,0.00003710058,0.01182702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9946865,"threshold_uncertainty_score":0.6396992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214547376916389,"score_gpt":0.2195407817497227,"score_spread":0.2073953079805588,"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."}}