{"id":"W3177022022","doi":"10.1109/i2mtc50364.2021.9460029","title":"An Optimized Tongue Drive System for Disabled Persons","year":2021,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Disabled people; Computer science; Human–computer interaction; Assistive technology; Tongue; Multimedia; Psychology; Applied psychology; Medicine","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":[0.0001067282,0.0002913023,0.0002599325,0.0002568435,0.0002002594,0.0002823335,0.0004706682,0.0002755052,0.004704812],"category_scores_gemma":[0.0002191851,0.0001103462,0.0001791144,0.0001184435,0.0001084025,0.0003372539,0.0004348931,0.0001312441,0.001256437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509094,"about_ca_system_score_gemma":0.0003569967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615655,"about_ca_topic_score_gemma":0.001458274,"domain_scores_codex":[0.9998925,0.0000108436,0.00001177954,0.00002194558,0.00004646642,0.00001642109],"domain_scores_gemma":[0.9999334,0.000008376674,0.000009195766,0.000008381485,0.00002949936,0.00001128779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009097053,0.0002439599,0.005995072,0.0004739411,0.00005780967,0.001501645,0.0005876388,0.007064286,0.6738434,0.002597346,0.008750579,0.2979746],"study_design_scores_gemma":[0.0006436321,0.004405808,0.05155317,0.000167971,0.0003349801,0.00763189,0.0006516863,0.3083382,0.4871486,0.001402893,0.1374268,0.0002944058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5170394,0.0005819383,0.4550865,0.0002995808,0.0001625628,0.0004768459,0.0006680507,0.009606715,0.01607848],"genre_scores_gemma":[0.8692275,0.0003073403,0.112191,0.0001216573,0.00002426118,0.0002090795,0.0004514077,0.0001387177,0.01732896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004704812,"threshold_uncertainty_score":0.01573914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640101029863542,"score_gpt":0.2651583955306306,"score_spread":0.2487573852319952,"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."}}