{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006168073,0.000242667,0.0002182483,0.001875432,0.004112512,0.002102186,0.000715604,0.0006271104,0.01161968],"category_scores_gemma":[0.002249843,0.0001664159,0.0003494148,0.002471178,0.0008838805,0.001699526,0.003926716,0.0004452106,0.0006486612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004000964,"about_ca_system_score_gemma":0.01577759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1033917,"about_ca_topic_score_gemma":0.1155573,"domain_scores_codex":[0.9990657,0.0001752677,0.00008131645,0.00004946068,0.000159903,0.0004682729],"domain_scores_gemma":[0.9982158,0.0001409787,0.0002449717,0.00004871999,0.0002405494,0.00110901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002077021,0.0006094252,0.6400689,0.001517883,0.00006158605,0.004894827,0.03981153,0.0005146515,0.00165938,0.01789162,0.03117846,0.261584],"study_design_scores_gemma":[0.00009498065,0.0003368105,0.7006876,0.001420292,0.0001267665,0.003103061,0.1266211,0.00219899,0.001185229,0.005675504,0.1584175,0.0001321661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638399,0.002408881,0.0004218363,0.00671255,0.00006521217,0.0001137799,0.0004237442,0.00007388394,0.02594018],"genre_scores_gemma":[0.9900121,0.00183117,0.000409558,0.0007878402,0.000029162,0.00006271881,0.0002321711,0.000009668731,0.006625621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033917,"threshold_uncertainty_score":0.2055798,"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."}}