{"id":"W2594295181","doi":"10.19173/irrodl.v18i1.2621","title":"Use of Social Media in Uncovering Information Services for People with Disabilities in China","year":2017,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entertainment; Tourism; Social media; Information needs; The Internet; China; Special needs; Work (physics); Public relations; Social needs; Quality (philosophy); Sociology; Business; Internet privacy; Marketing; Psychology; Computer science; World Wide Web; Political science; Engineering","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":[0.001283547,0.0003184106,0.0003035418,0.004765705,0.001517006,0.001349946,0.0004515722,0.0003773668,0.002106281],"category_scores_gemma":[0.002368151,0.0001510903,0.0003575484,0.004368552,0.0005717149,0.001300266,0.001602054,0.0002639526,0.0001548357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381897,"about_ca_system_score_gemma":0.004004566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1122255,"about_ca_topic_score_gemma":0.1393182,"domain_scores_codex":[0.9991215,0.000219344,0.0001024889,0.00008925259,0.0002621636,0.0002052967],"domain_scores_gemma":[0.9985103,0.0004640663,0.0004229821,0.00004754777,0.0003083769,0.0002465964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007507666,0.0002060156,0.7672935,0.00120425,0.00005924452,0.001015137,0.0885971,0.0001140573,0.0008392513,0.0009780811,0.001686388,0.1379319],"study_design_scores_gemma":[0.000007522242,0.0000920287,0.8734552,0.0005207922,0.00007902681,0.0001805195,0.1171463,0.000513425,0.0003153637,0.0002353965,0.007434049,0.00002037411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935697,0.001740463,0.00007677498,0.0006284708,0.00001274909,0.00005519594,0.0001987421,0.000004559649,0.00371332],"genre_scores_gemma":[0.9962912,0.00217619,0.0001901296,0.00009667513,0.00001146347,0.00004627584,0.0001011619,0.00000189929,0.001084976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122255,"threshold_uncertainty_score":0.2231444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039731552483115,"score_gpt":0.4439942289269814,"score_spread":0.3400210736786698,"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."}}