{"id":"W7095652112","doi":"","title":"uisitbns and Acquisitions et Bib iogmphic Services sewices bibliographiques","year":2014,"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":"Work (physics); Information system; Payment; Government (linguistics)","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":[0.003112633,0.001223231,0.0013722,0.01251857,0.003965614,0.01644999,0.00133909,0.001848177,0.717443],"category_scores_gemma":[0.01536847,0.0008218341,0.0006562077,0.01696896,0.001302951,0.005209069,0.003927451,0.002415182,0.6871601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006122505,"about_ca_system_score_gemma":0.01138537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293377,"about_ca_topic_score_gemma":0.02180693,"domain_scores_codex":[0.9947679,0.0005730971,0.0003324733,0.0005461318,0.0033506,0.0004296933],"domain_scores_gemma":[0.9904183,0.0009429825,0.0006953892,0.001797188,0.004431541,0.001714576],"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":[0.00005022763,0.00002531843,0.0004424893,0.0003009129,0.000005604005,0.00006779454,0.0002913957,0.00004942489,0.0005641606,0.01649812,0.8488563,0.1328481],"study_design_scores_gemma":[0.00000322001,0.000003736021,0.0004747167,0.00004555314,0.000001263571,0.000044788,0.00006443595,0.00003482479,0.0001242545,0.0004072559,0.9987921,0.000003890727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009076863,0.002607528,0.001841075,0.003406147,0.002896057,0.0002238317,0.01633273,0.003694071,0.9680908],"genre_scores_gemma":[0.003166121,0.002044834,0.001306779,0.0002494586,0.0004138511,0.0001142671,0.007497038,0.001199803,0.9840078],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.282557,"threshold_uncertainty_score":0.4030333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005399888782026436,"score_gpt":0.2153209774075096,"score_spread":0.2099210886254831,"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."}}