{"id":"W7100334660","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services services bibliographiques","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Order (exchange); Legislation; Information system; 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":[0.003908145,0.001240722,0.001369547,0.01558245,0.003218235,0.01839566,0.00145282,0.002186572,0.5903134],"category_scores_gemma":[0.01815827,0.0008509824,0.0007154578,0.03664883,0.001134961,0.007030945,0.003573995,0.002128636,0.5617524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00778704,"about_ca_system_score_gemma":0.02346163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03518771,"about_ca_topic_score_gemma":0.02468731,"domain_scores_codex":[0.9929957,0.00101237,0.0008236718,0.0008561136,0.00372379,0.0005883402],"domain_scores_gemma":[0.9868102,0.001398871,0.001147834,0.002309703,0.006602863,0.001730617],"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":[0.00004644676,0.00002122893,0.0006968673,0.0004256355,0.0000111017,0.00004451382,0.0001679479,0.00006810883,0.0003872873,0.02583645,0.8384525,0.1338419],"study_design_scores_gemma":[0.000003872117,0.00000318111,0.0005585866,0.00004566153,0.00000210849,0.00003372407,0.0000541375,0.00003103624,0.00009932345,0.0005002393,0.9986628,0.00000526268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001037422,0.004839694,0.002626744,0.006775078,0.003634251,0.0003668029,0.03894879,0.004200714,0.9375705],"genre_scores_gemma":[0.006815687,0.007220356,0.003450284,0.000783742,0.0012781,0.0002253067,0.02816353,0.002067076,0.9499959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4096866,"threshold_uncertainty_score":0.5843682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115190077396427,"score_gpt":0.2594058894789513,"score_spread":0.238253988704987,"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."}}