{"id":"W7096609839","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); Reproduction; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004017684,0.001485726,0.001767413,0.01923777,0.004894685,0.02187711,0.001891449,0.002300789,0.6012434],"category_scores_gemma":[0.01966739,0.001026852,0.0007416918,0.04525971,0.001427255,0.005930597,0.003274945,0.002260841,0.5890527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01528871,"about_ca_system_score_gemma":0.05205825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1980897,"about_ca_topic_score_gemma":0.1574132,"domain_scores_codex":[0.9912212,0.0007754901,0.0008156163,0.0008992424,0.005448795,0.0008396662],"domain_scores_gemma":[0.9799151,0.001349524,0.001245934,0.002383129,0.01278746,0.002318806],"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":[0.0000324365,0.00001585702,0.0004548854,0.0004082045,0.000008046901,0.0000384132,0.0001502424,0.00005905725,0.0002511596,0.0133081,0.9010681,0.08420549],"study_design_scores_gemma":[0.000002981848,0.000002298518,0.0006018613,0.00005500295,0.000001833168,0.00002318012,0.00005754066,0.00002662101,0.00007177625,0.0003250017,0.9988257,0.000006134153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006748229,0.003830382,0.001944438,0.00462053,0.002451277,0.0004745506,0.06560662,0.003855139,0.9165422],"genre_scores_gemma":[0.004352907,0.00637625,0.002560672,0.0005611542,0.0007020614,0.0002432124,0.04140133,0.001982667,0.9418197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3987566,"threshold_uncertainty_score":0.5687779,"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."}}