{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001142117,0.0001947137,0.0001437909,0.008293992,0.0004027534,0.002284448,0.0006116237,0.00006993672,0.001132142],"category_scores_gemma":[5.918749e-7,0.000165593,0.00009153046,0.02191184,0.00007292006,0.005759077,0.0002055472,0.00007444373,0.0001146276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003246128,"about_ca_system_score_gemma":0.00002200019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001650272,"about_ca_topic_score_gemma":0.0001202485,"domain_scores_codex":[0.9987208,0.00004952123,0.0002338539,0.0004322419,0.0002785173,0.0002850837],"domain_scores_gemma":[0.999271,0.00008862101,0.0000452342,0.000333797,0.00006190935,0.0001994695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001261962,0.001328726,0.2677815,0.0005433239,0.0006828326,0.0001034181,0.01005392,0.0001569874,0.0006757432,0.4421996,0.1477155,0.1286322],"study_design_scores_gemma":[0.0009739471,0.0002735673,0.3478632,0.0001641937,0.00002598519,0.000111113,0.0004816164,0.006054728,0.001038215,0.0965524,0.5453113,0.001149735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4883631,0.001381519,0.002956032,0.005651406,0.0001095136,0.0002750489,0.00002597865,0.001766778,0.4994706],"genre_scores_gemma":[0.9527929,0.007697651,0.01657203,0.01476819,0.00006939292,0.0000591903,0.00004314968,0.00001932957,0.007978209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4914924,"threshold_uncertainty_score":0.999781,"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."}}