{"id":"W7101162540","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services services bibliographiques","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":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Order (exchange); Legislation; Electronic document; Subject (documents)","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":["insufficient_payload"],"category_scores_codex":[0.003208752,0.00116713,0.001259251,0.01379751,0.003072709,0.01691005,0.001276035,0.001951319,0.592716],"category_scores_gemma":[0.01478245,0.000798464,0.0006819138,0.03474674,0.001047672,0.006707191,0.003500379,0.001859431,0.5643467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00685553,"about_ca_system_score_gemma":0.01915587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03499566,"about_ca_topic_score_gemma":0.02705336,"domain_scores_codex":[0.9943619,0.0009131309,0.0006600152,0.0007024971,0.002864737,0.0004977311],"domain_scores_gemma":[0.9906015,0.00123137,0.0008237659,0.001665217,0.004377863,0.001300129],"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":[0.00004497274,0.00002135739,0.0006885378,0.0004329749,0.00001040756,0.000047986,0.0002298393,0.00006949531,0.0004159019,0.02658564,0.8255638,0.1458891],"study_design_scores_gemma":[0.000003829428,0.00000295536,0.0004890119,0.00004383259,0.000002008272,0.00003362817,0.00006292247,0.00002832902,0.0001034627,0.0004866282,0.9987387,0.000004813464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000969548,0.004103283,0.002749217,0.004900311,0.00232617,0.0003040376,0.03241104,0.004105446,0.948131],"genre_scores_gemma":[0.007233059,0.007141411,0.003622712,0.0006587908,0.001018695,0.0002177923,0.02508289,0.002129925,0.9528946],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.407284,"threshold_uncertainty_score":0.5809411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816049445579486,"score_gpt":0.244773055965174,"score_spread":0.2266125615093791,"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."}}