{"id":"W7097808754","doi":"","title":"Nationai Library of Canada to","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Information system; Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.000103576,0.00001451119,0.00002302101,0.00001502858,0.00005107664,0.00002187253,0.0001090693,0.000009321633,0.000425303],"category_scores_gemma":[0.00007972793,0.00001238537,0.000004628013,0.0002207354,0.00002401517,0.000691523,0.00001110674,0.000008616484,0.00000843225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001258764,"about_ca_system_score_gemma":0.003783146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2843446,"about_ca_topic_score_gemma":0.5703661,"domain_scores_codex":[0.999569,0.00001720472,0.00005088537,0.00004313658,0.0002527271,0.00006706679],"domain_scores_gemma":[0.9997676,0.00001844106,0.00001223114,0.00003301307,0.00002173322,0.0001469586],"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":[0.000002019998,0.00000716122,0.01148851,5.525749e-7,6.49479e-7,7.482145e-7,0.00291914,0.00001526622,0.00002208261,0.3963268,0.5884873,0.0007297678],"study_design_scores_gemma":[0.00003784787,0.00002521738,0.005497163,0.000001769626,3.405034e-7,6.78164e-8,0.007731181,0.0000152525,0.002427618,0.006535031,0.9776837,0.00004476081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1280431,0.000003974918,0.00002788591,0.03143249,0.0001648298,0.00004518137,0.000002144138,0.00001653091,0.8402639],"genre_scores_gemma":[0.9453462,5.018779e-7,0.0008879848,0.001682141,0.00006320389,7.532588e-7,0.000001495899,8.135529e-7,0.05201695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8173031,"threshold_uncertainty_score":0.7204211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996531500608909,"score_gpt":0.2833298050176041,"score_spread":0.2433644900115151,"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."}}