{"id":"W2981898447","doi":"10.5539/ass.v15n11p42","title":"Services for Users with Disabilities in Joint Libraries in China","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qingdao University; Qingdao University of Science and Technology","keywords":"China; Disadvantaged; Joint (building); Business; Government (linguistics); Equity (law); Public relations; Population; Economic growth; Political science; World Wide Web; Computer science; Sociology; Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001323894,0.000141075,0.0002596882,0.0001562661,0.0004652265,0.0006874927,0.0007924235,0.00007633137,0.00009599485],"category_scores_gemma":[0.0003050047,0.0001232157,0.00006457838,0.001515498,0.003780354,0.004384906,0.0001300398,0.000113605,0.00001911921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004081083,"about_ca_system_score_gemma":0.0006514565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004822621,"about_ca_topic_score_gemma":0.02713438,"domain_scores_codex":[0.9977195,0.00007086535,0.0002817726,0.0005067844,0.0006944602,0.0007266231],"domain_scores_gemma":[0.9994091,0.0001467243,0.00008304173,0.0001921602,0.00006538248,0.0001035448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003944523,0.0001025811,0.4829408,0.00009444905,0.000001896071,3.612526e-7,0.1731623,0.000001823405,0.00002525871,0.3350368,0.00001272515,0.008581563],"study_design_scores_gemma":[0.0002964404,0.00006567799,0.6002495,0.00005329281,0.000001649406,1.061069e-7,0.3048512,0.00000936716,0.00007674263,0.09308603,0.001109452,0.0002005738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6316146,0.000009400925,0.00000208711,0.001778107,0.0001120783,0.0005671851,0.00001116287,0.00004504584,0.3658603],"genre_scores_gemma":[0.9985709,0.000001554449,0.0002190101,0.0001030639,0.00007438251,0.00007353236,0.000002779145,0.00001067671,0.0009440708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3669563,"threshold_uncertainty_score":0.9989308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714218549233876,"score_gpt":0.2884878608347874,"score_spread":0.2713456753424487,"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."}}