{"id":"W7096809426","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; Subject (documents); Electronic document","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":[0.004460983,0.001660051,0.001960676,0.02224091,0.002846848,0.02078473,0.001836355,0.002139336,0.7022918],"category_scores_gemma":[0.022691,0.001146801,0.0008959345,0.04864269,0.001195627,0.008603558,0.004166503,0.002209545,0.704616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005807023,"about_ca_system_score_gemma":0.01473413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784181,"about_ca_topic_score_gemma":0.01172206,"domain_scores_codex":[0.9929189,0.001077562,0.001032233,0.0009408986,0.003517677,0.0005126937],"domain_scores_gemma":[0.9865475,0.001839355,0.001314453,0.003027471,0.005898783,0.001372485],"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":[0.00004442829,0.00002184639,0.0004612959,0.0006009563,0.00001422182,0.0000414242,0.0001737821,0.00006903879,0.0003775244,0.01649288,0.8569694,0.1247332],"study_design_scores_gemma":[0.000004668513,0.000003757618,0.0004669119,0.00007614114,0.000002659595,0.00003533848,0.00005718354,0.00003444052,0.0001062449,0.000612919,0.9985922,0.000007573193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007687841,0.004690018,0.003884261,0.004232957,0.003354026,0.0004732666,0.08919022,0.00816255,0.8852438],"genre_scores_gemma":[0.006484747,0.009388112,0.005218106,0.0006683593,0.001537902,0.0004586495,0.07907163,0.004930787,0.8922417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7022918,"threshold_uncertainty_score":0.4246446,"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."}}