{"id":"W2588684369","doi":"10.23974/ijol.2016.vol1.1.14","title":"Chinese Academic Library Services: A Web Survey","year":2016,"lang":"en","type":"article","venue":"International Journal of Librarianship","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"McGill University","keywords":"Interlibrary loan; China; Academic library; Government (linguistics); Library science; Subject (documents); Population; Political science; Business; World Wide Web; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045357,0.0002537762,0.0003448119,0.003534695,0.001676344,0.001022084,0.000477081,0.0004740913,0.006593494],"category_scores_gemma":[0.002228426,0.0002364402,0.0003004083,0.007957684,0.0004831176,0.001003971,0.0009118102,0.0003963065,0.001426521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00340136,"about_ca_system_score_gemma":0.00545554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3010607,"about_ca_topic_score_gemma":0.340035,"domain_scores_codex":[0.9989342,0.00009232182,0.000132071,0.0001121648,0.0004422547,0.0002870089],"domain_scores_gemma":[0.9980326,0.0001975793,0.0004192851,0.00006476335,0.0007620076,0.0005237212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004232312,0.0001595069,0.9760696,0.0001324716,0.00001830887,0.000188453,0.006111076,0.00002936808,0.0003910872,0.0001267538,0.004000122,0.01273092],"study_design_scores_gemma":[0.000004752347,0.00005294318,0.9866022,0.00001951666,0.00001306753,0.00008884097,0.009592946,0.0001348162,0.0001212147,0.0000190392,0.003339337,0.00001136902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931693,0.0001505023,0.00004229539,0.0003708937,0.000004994403,0.00008162888,0.002166688,0.0000086071,0.004005055],"genre_scores_gemma":[0.9931706,0.000596452,0.0001564727,0.0006206848,0.00001291191,0.0001292964,0.002024896,0.000006369795,0.003282405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3010607,"threshold_uncertainty_score":0.5986167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789450515762671,"score_gpt":0.3300638255334443,"score_spread":0.3021693203758176,"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."}}