{"id":"W7100167951","doi":"","title":"National Libtary Bibliothèque nationale du Canada Acquisitions and Acquisitions et","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Context (archaeology); Agency (philosophy); Legislation","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":[],"consensus_categories":[],"category_scores_codex":[0.003212961,0.0007436663,0.001318048,0.007976463,0.009367768,0.01156961,0.001190776,0.00178436,0.05155997],"category_scores_gemma":[0.01254825,0.0007202798,0.0009478434,0.0110659,0.001733694,0.002460072,0.002203491,0.003853637,0.00524264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0975998,"about_ca_system_score_gemma":0.2060381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9848465,"about_ca_topic_score_gemma":0.9883012,"domain_scores_codex":[0.9918984,0.00053695,0.0003124629,0.0005666602,0.004782616,0.001902889],"domain_scores_gemma":[0.9861345,0.001501801,0.0007328034,0.0004290604,0.00922698,0.00197487],"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":[0.0005636202,0.0001719555,0.06319385,0.0008049945,0.0002342983,0.0005197542,0.002347453,0.001278642,0.001162428,0.2208879,0.51012,0.1987151],"study_design_scores_gemma":[0.00005341997,0.00002394949,0.1519894,0.0003426652,0.00005649687,0.0002030415,0.001429964,0.0006552402,0.0009149989,0.001765161,0.8424709,0.00009481128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09915626,0.04546878,0.003138509,0.04580719,0.0034147,0.0003759161,0.06198127,0.001189455,0.7394679],"genre_scores_gemma":[0.2259554,0.01594574,0.004183855,0.002685459,0.0004988568,0.0002778671,0.01023629,0.0003844931,0.739832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9848465,"threshold_uncertainty_score":0.7081394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261011882735173,"score_gpt":0.2291684707514046,"score_spread":0.2065583519240529,"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."}}