{"id":"W3178711850","doi":"10.1177/01626434211019399","title":"User Experiences of Eye Gaze Classroom Technology for Children With Complex Communication Needs","year":2021,"lang":"en","type":"article","venue":"Journal of Special Education Technology","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Eye tracking; Augmentative and alternative communication; Gaze; Psychology; Session (web analytics); Nonverbal communication; Tracking (education); Special education; Assistive technology; Developmental psychology; Computer science; Pedagogy; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005481561,0.0001631719,0.0005450744,0.00113973,0.0004959208,0.000006374621,0.001029146,0.0006604308,0.0005710477],"category_scores_gemma":[0.001058708,0.0001416648,0.0000943068,0.001632287,0.001052469,0.0001447095,0.0002566306,0.001066984,0.000009946043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399388,"about_ca_system_score_gemma":0.002008612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007993339,"about_ca_topic_score_gemma":0.00008825314,"domain_scores_codex":[0.9980212,0.000213979,0.001114081,0.0001826811,0.0001848266,0.0002831846],"domain_scores_gemma":[0.9942012,0.0002739056,0.00170618,0.001070026,0.002690258,0.00005839656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002888501,0.00159233,0.6564725,0.00008177374,0.0002833212,8.871439e-7,0.009275901,0.000002165689,0.00439103,0.2259351,0.03111695,0.07055918],"study_design_scores_gemma":[0.002560076,0.0008960304,0.174309,0.0004904801,0.0001705834,0.0001281856,0.5419879,0.000005598095,0.01351232,0.0312567,0.2343189,0.0003642546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634314,0.001207931,0.003824571,0.02766643,0.0006315088,0.0006986788,0.00001139152,0.0001133261,0.002414795],"genre_scores_gemma":[0.946982,0.0004487823,0.05095214,0.0003089555,0.0003196071,0.0002947059,0.00003098516,0.00002109272,0.0006416902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.532712,"threshold_uncertainty_score":0.6252571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485726883403761,"score_gpt":0.4207941064505887,"score_spread":0.3759368376165511,"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."}}