{"id":"W2904967541","doi":"10.33186/1027-3689-2017-6-25-38","title":"Integrating bibliographic and archival records in library e-catalog","year":2017,"lang":"en","type":"article","venue":"Scientific and Technical Libraries","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library catalog; Library science; Library classification; Presidential system; History; Resource Description and Access; National library; Library of congress; World Wide Web; Computer science; Information retrieval; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.03594169,0.0005450306,0.001177978,0.02407708,0.00429798,0.03241847,0.002831195,0.002355057,0.008439416],"category_scores_gemma":[0.08972182,0.001155091,0.0008690543,0.04934253,0.006029789,0.03932728,0.01231856,0.003444123,0.004433492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007288208,"about_ca_system_score_gemma":0.01201907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775873,"about_ca_topic_score_gemma":0.01915446,"domain_scores_codex":[0.965138,0.01515836,0.00395826,0.001546357,0.01317235,0.001026625],"domain_scores_gemma":[0.9261919,0.03076606,0.004905789,0.02111,0.01562072,0.001405631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001242644,0.0001657846,0.01108514,0.001185534,0.00007564387,0.0003230043,0.007629403,0.001511043,0.001788696,0.2188981,0.01631036,0.740903],"study_design_scores_gemma":[0.00005687643,0.0001936283,0.01011686,0.004293296,0.0002266527,0.001332087,0.01461687,0.007075184,0.008772558,0.1048691,0.8482182,0.0002286911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07866177,0.07432698,0.486003,0.04231105,0.003586306,0.001688153,0.003892607,0.009539014,0.2999911],"genre_scores_gemma":[0.3378367,0.03809424,0.559126,0.003279265,0.002162741,0.000521492,0.003943204,0.001529326,0.05350713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03594169,"threshold_uncertainty_score":0.1900801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041790270718905,"score_gpt":0.2327213382099219,"score_spread":0.2123034355027329,"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."}}