{"id":"W7100881698","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services seMces 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)","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":[0.003718323,0.001226653,0.001470002,0.01831069,0.002853572,0.01734143,0.00137173,0.001482596,0.5637186],"category_scores_gemma":[0.01691101,0.0008361039,0.0006790565,0.04365801,0.001285453,0.00656248,0.003127067,0.002070921,0.4790877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005484864,"about_ca_system_score_gemma":0.01235463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175044,"about_ca_topic_score_gemma":0.01660497,"domain_scores_codex":[0.9939824,0.000894503,0.000735911,0.0008985813,0.003120937,0.0003675618],"domain_scores_gemma":[0.9882817,0.001723593,0.0009505452,0.002715383,0.005517337,0.0008114401],"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":[0.00005712713,0.00002427092,0.0008692167,0.0005861268,0.00001586097,0.00006494363,0.0004207373,0.00009946258,0.0006392171,0.02532119,0.7904435,0.1814583],"study_design_scores_gemma":[0.00000359071,0.000004190474,0.0007928843,0.00007449678,0.000002731764,0.00003929757,0.000101062,0.00003880915,0.0001572039,0.0004917697,0.9982881,0.000005804207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001687326,0.006252698,0.004711498,0.004897345,0.005065125,0.0004577088,0.06900808,0.00564909,0.9022712],"genre_scores_gemma":[0.01041612,0.009703849,0.005882971,0.0005508646,0.001420107,0.0004226811,0.05282039,0.003116411,0.9156665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4362814,"threshold_uncertainty_score":0.6223024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230306895421457,"score_gpt":0.2498965710289374,"score_spread":0.2268658814867917,"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."}}