{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009494572,0.001020732,0.0009252443,0.003082943,0.005781291,0.00755845,0.001435108,0.003156863,0.7424236],"category_scores_gemma":[0.003009086,0.0006601939,0.0005829278,0.003878802,0.0006749558,0.002326199,0.00293741,0.002314907,0.5636594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004847852,"about_ca_system_score_gemma":0.005669693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05516959,"about_ca_topic_score_gemma":0.1724266,"domain_scores_codex":[0.9991918,0.00004474192,0.00003130817,0.00009924469,0.000441684,0.0001912271],"domain_scores_gemma":[0.9982457,0.0001018614,0.00005753648,0.0001367285,0.0008759614,0.0005822745],"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":[0.00001598422,0.00001304944,0.00008133103,0.00003266711,9.515101e-7,0.00001780173,0.00001943074,0.000004566931,0.00004399317,0.0001397733,0.9916729,0.0079576],"study_design_scores_gemma":[0.000004635325,0.000006896478,0.001185673,0.00005360914,0.000002155926,0.00001203753,0.00009202033,0.00001181051,0.00007572873,0.0000557348,0.9984943,0.000005469024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001216984,0.001986854,0.0001960156,0.01045932,0.008091883,0.000263769,0.0119541,0.003231286,0.9625998],"genre_scores_gemma":[0.002389597,0.0007148348,0.0001081734,0.001334214,0.0007387048,0.0000671285,0.003099324,0.000579979,0.990968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9448304,"threshold_uncertainty_score":0.3674015,"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."}}