{"id":"W4385252287","doi":"10.15460/hup.228.1679","title":"LINCA","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; University of Toronto; European Bank for Reconstruction and Development; Andrew W. Mellon Foundation; United States Agency for International Development","keywords":"Cataloging; Library science; National library; Political science; Union catalog; European union; Foundation (evidence); Soviet union; Computer science; Law; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001222091,0.000927784,0.0008066645,0.00234628,0.002160385,0.005943235,0.002101358,0.001943893,0.6343858],"category_scores_gemma":[0.002912025,0.0005881842,0.0006380782,0.002467161,0.0007756811,0.003248127,0.003065259,0.002230313,0.5289014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023277,"about_ca_system_score_gemma":0.002664727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964999,"about_ca_topic_score_gemma":0.008875444,"domain_scores_codex":[0.9986876,0.0001452896,0.00007690588,0.0002905436,0.0006580101,0.0001416888],"domain_scores_gemma":[0.9982344,0.0002360646,0.0001201747,0.0003124569,0.000625712,0.0004711569],"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":[0.000130822,0.00007810362,0.0004248582,0.0006431252,0.00001353391,0.0002161516,0.0002700533,0.0001251741,0.003027267,0.03786452,0.7169366,0.2402698],"study_design_scores_gemma":[0.000005310963,0.000007372769,0.0001485052,0.0000595518,0.000002554072,0.00006808051,0.0000312732,0.00003072582,0.0002374965,0.001020716,0.9983844,0.000004005521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009124562,0.004883668,0.004932473,0.002826857,0.001893963,0.0001357614,0.005175886,0.004910729,0.9743283],"genre_scores_gemma":[0.00379367,0.002767524,0.003229513,0.001631818,0.0002618771,0.0002142103,0.005423408,0.001922878,0.9807552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3656142,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017320045062723,"score_gpt":0.1962635856363046,"score_spread":0.1760903851856774,"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."}}