{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383097,0.0002115631,0.0002503791,0.0004138412,0.0005252482,0.00002716991,0.001181173,0.0008153626,0.0001893046],"category_scores_gemma":[0.0003148663,0.0002014828,0.0000895544,0.0006041307,0.0004778689,0.0001080096,0.0001577366,0.0007997187,0.0001658077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007344906,"about_ca_system_score_gemma":0.00006876877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005076195,"about_ca_topic_score_gemma":0.0004187973,"domain_scores_codex":[0.9985611,0.00007789129,0.0003228595,0.0004240209,0.00009807753,0.0005160432],"domain_scores_gemma":[0.9979475,0.000349516,0.0001605699,0.001355227,0.0001485357,0.00003868176],"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":[0.0001355998,0.0006601365,0.01986339,0.00002647456,0.00013525,0.000005844774,0.001493438,0.000008043956,0.0782077,0.2830725,0.004464221,0.6119274],"study_design_scores_gemma":[0.003733978,0.001805437,0.06837665,0.0001527939,0.0002043584,0.00006562562,0.01368105,0.001178654,0.07897627,0.06068477,0.7697498,0.001390658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7956572,0.0009340323,0.09540364,0.02479825,0.0006613251,0.001947506,0.00001661153,0.004100189,0.07648131],"genre_scores_gemma":[0.9585758,0.0000542976,0.03961578,0.00007120852,0.00001522797,0.0006604218,0.00003228535,0.0000326699,0.0009422621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7652856,"threshold_uncertainty_score":0.8216232,"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."}}