{"id":"W1581290890","doi":"10.18438/b85c7r","title":"Electronic Journals Appear to Reduce Interlibrary Lending in Academic Libraries","year":2007,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interlibrary loan; Library science; State (computer science); Computer science; World Wide Web; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003942393,0.0002255081,0.0002945516,0.002478867,0.001306906,0.004952115,0.001035898,0.001197836,0.02354368],"category_scores_gemma":[0.05722638,0.0002612337,0.0005041574,0.004390702,0.001132066,0.003185583,0.004191341,0.0006951152,0.003010435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234102,"about_ca_system_score_gemma":0.00514834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005894697,"about_ca_topic_score_gemma":0.008746054,"domain_scores_codex":[0.9948814,0.001972861,0.0005449228,0.0003672771,0.001469524,0.000763943],"domain_scores_gemma":[0.9482962,0.01378565,0.02508776,0.00220609,0.006358003,0.004266288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008205526,0.00172562,0.8233382,0.0004664923,0.0001037481,0.0004099116,0.003854377,0.0005730743,0.0007796684,0.003705205,0.01304425,0.1511788],"study_design_scores_gemma":[0.0000625654,0.0003734821,0.9749842,0.0001537205,0.00007538462,0.0003573663,0.00509685,0.0003173829,0.001098351,0.001535971,0.015922,0.0000227993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445852,0.002187534,0.0003471809,0.009425492,0.0000716619,0.00005239883,0.000282308,0.0001554574,0.04289291],"genre_scores_gemma":[0.9906557,0.0006376216,0.0003536216,0.001432103,0.0001482971,0.00002569191,0.0002114558,0.00002318049,0.006512287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9950479,"threshold_uncertainty_score":0.07876146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237391288247343,"score_gpt":0.2857357897446774,"score_spread":0.2619966609199431,"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."}}