{"id":"W4200171428","doi":"10.1145/3498367","title":"Eyelid gestures for people with motor impairments","year":2021,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gesture; Computer science; Eyelid; Gaze; Set (abstract data type); Eye tracking; Human–computer interaction; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.00009853202,0.00004901681,0.00008886927,0.00002510955,0.0001942562,0.00002244293,0.01828825,0.00002687589,0.000001018034],"category_scores_gemma":[0.001457861,0.00003296054,0.00004881235,0.0002534768,0.00009721308,0.00005602653,0.009634529,0.0000859713,0.000002379104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301154,"about_ca_system_score_gemma":0.00006385159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364456,"about_ca_topic_score_gemma":0.00006603168,"domain_scores_codex":[0.9995872,0.00005178693,0.00009377504,0.0001096659,0.00006852872,0.00008901826],"domain_scores_gemma":[0.9802343,0.0002328553,0.00007951369,0.01927922,0.0001607496,0.00001331383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005342806,0.002908956,0.189025,0.0001974654,0.0005820216,0.000003516234,0.005601093,0.0002289849,0.0813292,0.5656042,0.1109858,0.04348029],"study_design_scores_gemma":[0.00118028,0.0002945316,0.61436,0.0001761753,0.00006869626,0.00007121466,0.0003780606,0.004171062,0.05653337,0.2933477,0.02909947,0.0003194866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4002428,0.002707219,0.07898288,0.5133144,0.0003290123,0.000873689,0.00004473676,0.0004685514,0.003036731],"genre_scores_gemma":[0.6257501,0.00002488177,0.37396,0.00009002434,0.000002857267,0.00003753385,0.000001964749,0.000002839099,0.0001297505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5132244,"threshold_uncertainty_score":0.9983754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746888879238742,"score_gpt":0.2889893629671432,"score_spread":0.2615204741747558,"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."}}