{"id":"W7095798896","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services senrices bibliographiques","year":2000,"lang":"en","type":"article","venue":"","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Legislation; Government (linguistics); 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":[0.003697936,0.0009387535,0.001074383,0.01327112,0.002850441,0.01318994,0.00104841,0.001410487,0.456358],"category_scores_gemma":[0.01368451,0.0006877738,0.0005431449,0.03036908,0.001176322,0.00584352,0.003806401,0.001792925,0.3181286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004341005,"about_ca_system_score_gemma":0.01148902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354935,"about_ca_topic_score_gemma":0.0196803,"domain_scores_codex":[0.9948359,0.001147804,0.0006365706,0.0006192771,0.002356949,0.0004034899],"domain_scores_gemma":[0.9925653,0.001281931,0.0008788169,0.001638799,0.002893124,0.0007420409],"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":[0.00006993234,0.00003147051,0.001768173,0.0005614645,0.00001887232,0.00008553862,0.000919848,0.0001116899,0.0006810813,0.04948513,0.6986263,0.2476405],"study_design_scores_gemma":[0.000003822166,0.000004742903,0.001222515,0.00006004984,0.000002376898,0.00005183995,0.0001799034,0.0000427932,0.0001632902,0.0007428922,0.99752,0.000005701044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002698895,0.006374263,0.004216402,0.00494159,0.002487075,0.0003542088,0.03263795,0.004007091,0.9422825],"genre_scores_gemma":[0.01881873,0.008678669,0.005433962,0.0005807563,0.001155123,0.0002899259,0.02275896,0.00203507,0.9402487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.456358,"threshold_uncertainty_score":0.7754393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510448940009569,"score_gpt":0.2206285096703641,"score_spread":0.2055240202702684,"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."}}