{"id":"W2142981985","doi":"10.1080/10400430903519928","title":"Message Transmission Efficiency Through Five Telecommunication Technologies for Signing Deaf Users","year":2010,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Videophone; Videoconferencing; Software; Videotelephony; Multimedia; Computer science; Telecommunications; Teleconference; User satisfaction; Human–computer interaction; Operating 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":[0.00276697,0.0003216266,0.0002897705,0.0009061046,0.0004612623,0.0006937482,0.0001546427,0.000424212,0.001924116],"category_scores_gemma":[0.01112995,0.0002575039,0.000423202,0.0003569192,0.0003250545,0.0007121643,0.0003996096,0.000420244,0.0002195821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544389,"about_ca_system_score_gemma":0.0004748986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005478502,"about_ca_topic_score_gemma":0.0006113712,"domain_scores_codex":[0.9982456,0.0006791377,0.00026836,0.0001966184,0.0004061819,0.0002041943],"domain_scores_gemma":[0.9861573,0.007256559,0.003868777,0.0003803862,0.001456027,0.0008810352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003037436,0.003139296,0.9436482,0.0002281309,0.0001242599,0.0001624253,0.002314815,0.0001379063,0.006311915,0.00005505185,0.00007210018,0.04076847],"study_design_scores_gemma":[0.00008168594,0.02002079,0.9715057,0.00002010824,0.0001580765,0.0004821532,0.001854286,0.0002381037,0.005313168,0.00003009371,0.000268118,0.00002772209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997562,0.00003050474,0.00006196382,0.000002918926,9.147586e-7,0.00002093932,0.00001777657,0.000001463284,0.000107433],"genre_scores_gemma":[0.9994498,0.00004794506,0.000264583,0.000009804564,0.000002995069,0.00003900472,0.00005219856,9.044459e-7,0.0001327625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00276697,"threshold_uncertainty_score":0.0146333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572395056178757,"score_gpt":0.3398711385766665,"score_spread":0.314147188014879,"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."}}