{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001192957,0.000109048,0.0001543123,0.0003755334,0.0001188594,0.0004896829,0.00205397,0.0001168887,0.002981794],"category_scores_gemma":[0.0004608634,0.00006529617,0.0001210878,0.000446367,0.0001648982,0.05111501,0.0001146709,0.0002109984,0.0001958674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000357378,"about_ca_system_score_gemma":0.0008831788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003551928,"about_ca_topic_score_gemma":0.000008182686,"domain_scores_codex":[0.9976742,0.0003385411,0.0006677668,0.0001092241,0.0009836208,0.0002266939],"domain_scores_gemma":[0.9981129,0.0007162853,0.0005625086,0.0001132508,0.0002325996,0.000262433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000183376,0.00003336842,0.9141296,0.00000461621,0.00005207632,0.00002597964,0.005081282,0.000002273272,0.0001942854,0.05149394,0.0160122,0.012787],"study_design_scores_gemma":[0.0008378857,0.00004823492,0.4242975,0.0002157096,0.000003660034,0.00002809526,0.0006528642,0.00002566439,0.000131578,0.01854414,0.5550506,0.0001640691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8392238,0.0002703667,0.0003502464,0.08401673,0.004782551,0.0001151995,0.0001441395,0.0001006619,0.07099632],"genre_scores_gemma":[0.9844217,0.0006359412,0.0004467594,0.007115009,0.002111569,0.000001214733,0.00001288782,0.00001135515,0.005243517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5390384,"threshold_uncertainty_score":0.9979296,"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."}}