{"id":"W4385256873","doi":"10.15460/hup.228.1680","title":"CASLIN","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 Toronto; European Bank for Reconstruction and Development; German Marshall Fund of the United States; University of California, Los Angeles; Pew Charitable Trusts; Andrew W. Mellon Foundation; United States Agency for International Development; Ford Foundation","keywords":"Cataloging; Library science; Union catalog; European union; National library; Political science; Soviet union; Foundation (evidence); Geography; World Wide Web; 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":[0.0007326932,0.001157938,0.0007471147,0.003596957,0.002275733,0.007923183,0.001585349,0.001988309,0.672307],"category_scores_gemma":[0.002497635,0.0005855011,0.0005626809,0.003204583,0.0007630152,0.004677392,0.003155941,0.00198186,0.4580652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307722,"about_ca_system_score_gemma":0.002893995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00531468,"about_ca_topic_score_gemma":0.01411259,"domain_scores_codex":[0.9990029,0.00008108677,0.00006529464,0.0002518542,0.0005062841,0.00009273179],"domain_scores_gemma":[0.9985753,0.0002034061,0.00007707667,0.0002627593,0.0005469239,0.0003346401],"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":[0.00005820973,0.00003416941,0.0002835082,0.0002778535,0.000005769796,0.0001517211,0.0002122061,0.0001268615,0.0005488601,0.03351293,0.6999485,0.2648394],"study_design_scores_gemma":[0.000002711837,0.000003480059,0.0001051252,0.00005266565,0.000001160544,0.00007349248,0.00003732382,0.00003467578,0.000115684,0.001293579,0.9982766,0.000003438545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005982966,0.005387035,0.003223775,0.003521568,0.001890364,0.00008013954,0.002517003,0.002786859,0.9799951],"genre_scores_gemma":[0.002900853,0.002947791,0.002192725,0.0008467087,0.0002114679,0.0000582975,0.001868238,0.001116823,0.987857],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.327693,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225087516479413,"score_gpt":0.1992641771266415,"score_spread":0.1767554254787002,"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."}}