{"id":"W7097672202","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services services bibliographiques","year":2000,"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; 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":[0.002846095,0.00128687,0.001531683,0.01603279,0.004609472,0.02029792,0.001657002,0.00190903,0.6349941],"category_scores_gemma":[0.0127522,0.0009104282,0.0007112822,0.03848676,0.001141474,0.005235916,0.002749418,0.001968218,0.6162825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01245692,"about_ca_system_score_gemma":0.0390712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1643474,"about_ca_topic_score_gemma":0.1287059,"domain_scores_codex":[0.9943725,0.0004472608,0.0005059497,0.0006221314,0.003455745,0.0005964644],"domain_scores_gemma":[0.9869425,0.0007339622,0.000709714,0.001547222,0.008470862,0.001595739],"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":[0.00002313451,0.00001501086,0.0004005621,0.0003110644,0.000005864664,0.0000273793,0.0001181785,0.00004857127,0.0002299848,0.01127103,0.9048066,0.0827425],"study_design_scores_gemma":[0.000002265375,0.000002258022,0.0005931107,0.00004327666,0.000001553901,0.00002034617,0.00005440469,0.00002156017,0.0000677003,0.0002670469,0.9989213,0.000005181922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005717688,0.003034706,0.001526833,0.003467755,0.00196645,0.0004361317,0.04444277,0.003161725,0.9413917],"genre_scores_gemma":[0.002864072,0.004859864,0.001900895,0.0003967905,0.0004757755,0.0001906218,0.02507101,0.001233582,0.9630075],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6349941,"threshold_uncertainty_score":0.5206366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00555865257533665,"score_gpt":0.2157695364317911,"score_spread":0.2102108838564545,"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."}}