{"id":"W4243098291","doi":"10.32920/ryerson.14657487","title":"Creating Sign Language Web Forms","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sign language; Computer science; Sign (mathematics); Hyperlink; Presentation (obstetrics); Web page; Linguistics; Language interpretation; World Wide Web; Multimedia; Natural language processing","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":[0.002625445,0.0006615849,0.0004662083,0.001128965,0.0006750405,0.002637547,0.0008260703,0.0008203771,0.02161756],"category_scores_gemma":[0.01362972,0.0003514354,0.0005038824,0.0005882666,0.0005820037,0.002734533,0.002033798,0.0006229149,0.008047548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823863,"about_ca_system_score_gemma":0.0007681344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001942719,"about_ca_topic_score_gemma":0.0003162541,"domain_scores_codex":[0.9981136,0.0007495781,0.0001832838,0.000205164,0.0006259789,0.0001224553],"domain_scores_gemma":[0.9928651,0.003652908,0.000276917,0.00145219,0.001264097,0.0004888169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005321829,0.001087634,0.009817918,0.001026949,0.00002607381,0.00167749,0.01113588,0.001890522,0.1039661,0.02227312,0.0258962,0.82067],"study_design_scores_gemma":[0.0003159992,0.001963944,0.02515391,0.0007268422,0.00009438769,0.007100768,0.0116814,0.02330815,0.1839144,0.02924331,0.716207,0.000289941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4699517,0.0004170387,0.380566,0.0005768448,0.0004016955,0.00501777,0.001389418,0.008749117,0.1329305],"genre_scores_gemma":[0.4671802,0.0005122497,0.4660328,0.0002341909,0.00006703863,0.001938443,0.001637091,0.00189286,0.06050517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02161756,"threshold_uncertainty_score":0.07231796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260764308223691,"score_gpt":0.3647166336435337,"score_spread":0.3221089905612968,"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."}}