{"id":"W7100988281","doi":"","title":"Natiorial Library u*u of Canada Biblioth&que nationale du Canada Acquisitions and Acquisitions et","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Information system; The Internet","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":[0.00009188353,0.0001102847,0.0001186027,0.000415944,0.0001597361,0.0003401515,0.0003519153,0.00003259411,0.0003166978],"category_scores_gemma":[0.000108023,0.0001023556,0.00001998965,0.001808591,0.00003081701,0.002379981,0.0002547023,0.00005386042,0.000003958054],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008804727,"about_ca_system_score_gemma":0.01028328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6006801,"about_ca_topic_score_gemma":0.9483673,"domain_scores_codex":[0.9987946,0.00004297219,0.0002327294,0.0002109767,0.0005507549,0.0001680139],"domain_scores_gemma":[0.9990897,0.0002608331,0.0000729537,0.0001792497,0.0001501725,0.0002470837],"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":[0.000005908669,0.00001831136,0.001965204,0.000004403553,0.00001669523,0.000003668444,0.0002607772,0.0001136042,0.000009474591,0.1109674,0.8865486,0.00008595624],"study_design_scores_gemma":[0.0004511354,0.00001541243,0.00470299,0.000008781642,0.00000245237,0.00002604223,0.00007969509,0.0007463474,0.0004508982,0.008551908,0.9847468,0.0002175711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1361876,0.0003093321,0.02089991,0.03469409,0.001723005,0.0003204635,0.0001959443,0.0002592514,0.8054104],"genre_scores_gemma":[0.8499643,0.00004376134,0.02636722,0.008635941,0.0003035725,0.00003298768,0.0001856625,0.00002009903,0.1144465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7137766,"threshold_uncertainty_score":0.9953275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870754322460845,"score_gpt":0.2081763188933636,"score_spread":0.1894687756687551,"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."}}