{"id":"W7095399638","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":"Order (exchange); Government (linguistics); Legislation; Reproduction; 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":[],"category_scores_codex":[0.003703681,0.00142718,0.001607137,0.01946825,0.003170268,0.01993322,0.001639168,0.002302702,0.6515678],"category_scores_gemma":[0.01992327,0.0009912607,0.0007315846,0.04224856,0.001061225,0.006805172,0.003364997,0.002138937,0.656543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006792801,"about_ca_system_score_gemma":0.01931698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271869,"about_ca_topic_score_gemma":0.01502819,"domain_scores_codex":[0.9930397,0.0008897166,0.0009099994,0.0008263086,0.003805309,0.0005289232],"domain_scores_gemma":[0.9874421,0.001325742,0.001145506,0.002187547,0.006399991,0.001499123],"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":[0.00004142472,0.00002138125,0.0005335152,0.000497824,0.00001000476,0.00004504397,0.0001758774,0.00006892361,0.0003656908,0.01649282,0.8693739,0.1123735],"study_design_scores_gemma":[0.000003634267,0.000003171981,0.0004973455,0.00005786161,0.000001882617,0.00003149333,0.00004913457,0.00002791722,0.00008369015,0.0004097878,0.9988281,0.00000588546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008653585,0.004119341,0.002480621,0.004789421,0.002712163,0.0004611419,0.06019349,0.005177772,0.9192007],"genre_scores_gemma":[0.006198637,0.007625469,0.003643215,0.00067588,0.001251746,0.0003886899,0.0504708,0.003252742,0.9264929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6515678,"threshold_uncertainty_score":0.4969963,"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."}}