{"id":"W4416697907","doi":"10.1145/3773967.3773977","title":"Enabling Synchronous Hybrid Participation at Assets 2024","year":2025,"lang":"en","type":"article","venue":"ACM SIGACCESS Accessibility and Computing","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Asynchronous communication; Hybrid system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003188094,0.000586894,0.0004265255,0.00063064,0.002369634,0.003101755,0.001443662,0.001270201,0.02630591],"category_scores_gemma":[0.007642383,0.0003890969,0.0006544458,0.0004579371,0.0008872261,0.004376162,0.0113523,0.001542415,0.007686967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007035791,"about_ca_system_score_gemma":0.001405923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490206,"about_ca_topic_score_gemma":0.004716249,"domain_scores_codex":[0.9959562,0.002153388,0.00009955952,0.0004168998,0.0006770053,0.0006968962],"domain_scores_gemma":[0.9923211,0.001976271,0.0002320962,0.00150903,0.0008385393,0.00312296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005370422,0.004032761,0.02687158,0.0010247,0.0002080087,0.004391185,0.04080915,0.01323332,0.08335753,0.09927975,0.1939975,0.5274242],"study_design_scores_gemma":[0.0007331036,0.002413949,0.01676222,0.0002980388,0.0001315401,0.001305595,0.01564361,0.07581681,0.03235448,0.05275855,0.8013371,0.0004450656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3635923,0.0003952262,0.3818451,0.003319208,0.001011891,0.001716027,0.001708064,0.01757867,0.2288335],"genre_scores_gemma":[0.8363238,0.0001410052,0.1048779,0.0005659572,0.0002571318,0.001483678,0.00182824,0.001283963,0.05323838],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02630591,"threshold_uncertainty_score":0.08800203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026633135364535,"score_gpt":0.4297138336980207,"score_spread":0.3270505201615673,"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."}}