{"id":"W7029478790","doi":"","title":"2013 Jan/Feb Library Connections: UFV Library Newsletter","year":2013,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National library; Library automation; Digital library; Library classification","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0001048604,0.0005096348,0.0006236478,0.0002330687,0.001019611,0.01942309,0.002817054,0.0003359353,0.2037826],"category_scores_gemma":[0.00001682821,0.0007796573,0.0003661079,0.003462733,0.000195501,0.04522283,0.001958087,0.0009040223,0.001371674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000511562,"about_ca_system_score_gemma":0.00113885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000703637,"about_ca_topic_score_gemma":0.0003997045,"domain_scores_codex":[0.9942048,0.000333014,0.0009708708,0.001487762,0.0006233065,0.002380254],"domain_scores_gemma":[0.9974219,0.0004594155,0.0002994968,0.001097121,0.00003413663,0.0006879846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001198433,0.0001584695,0.01855077,0.00002039554,0.0001241227,0.00007038472,0.00004429822,0.00006543875,0.00000146158,0.04402886,0.9086264,0.02829744],"study_design_scores_gemma":[0.0006359051,0.0002859665,0.002348709,0.0001019631,0.00001075768,0.0001888628,0.00001260152,0.002967271,0.00005762548,0.3667319,0.6258828,0.0007756731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02254147,0.009617265,0.0004248957,0.03499229,0.001900232,0.002414293,0.00002941591,0.007638771,0.9204414],"genre_scores_gemma":[0.6316906,0.003815709,0.01108011,0.03399713,0.002090105,0.0007492967,0.0003579173,0.0002730993,0.3159461],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6091491,"threshold_uncertainty_score":0.9994655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003647328608623425,"score_gpt":0.1482087861761968,"score_spread":0.1445614575675733,"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."}}