{"id":"W2054074154","doi":"10.1108/02641610310460673","title":"Inter‐library loans and document delivery via EUCAT: a new PICA/OCLC initiative","year":2003,"lang":"en","type":"article","venue":"Interlending & Document Supply","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interlibrary loan; Union catalog; Quarter (Canadian coin); World Wide Web; Cataloging; Business; European union; Loan; Library science; Computer science; Political science; Finance; International trade; History","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003274186,0.0003133098,0.0002953983,0.0003941338,0.0001953064,0.001729491,0.001125913,0.00007710289,0.000833061],"category_scores_gemma":[0.00001985147,0.0002676162,0.0001117952,0.0005353309,0.00009186992,0.01938552,0.0005312877,0.0002159169,0.0005324085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008927198,"about_ca_system_score_gemma":0.000192279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000874137,"about_ca_topic_score_gemma":0.000002135677,"domain_scores_codex":[0.9976447,0.0001692268,0.0006773653,0.0005513033,0.0004213034,0.0005360984],"domain_scores_gemma":[0.9986936,0.0001285204,0.0002477565,0.0005337728,0.00003388746,0.0003624295],"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":[0.00008317862,0.0001844069,0.03535016,0.0001617136,0.0003353598,0.0001602822,0.1056629,0.00006323915,0.001381964,0.32824,0.3430142,0.1853627],"study_design_scores_gemma":[0.003060919,0.001527479,0.003728132,0.0008615964,0.00002120731,0.0006208242,0.008163374,0.003625185,0.05987712,0.09054084,0.8260511,0.0019223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1525297,0.00132813,0.7028507,0.01339129,0.004526178,0.001708709,0.00002349513,0.001190307,0.1224515],"genre_scores_gemma":[0.9798275,0.0001081597,0.01304767,0.002907661,0.00009570043,0.00003634892,0.00001240649,0.00001700421,0.003947556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8272978,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266770527266668,"score_gpt":0.2253571830394856,"score_spread":0.2126894777668189,"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."}}