{"id":"W2080435016","doi":"10.1145/1056808.1057041","title":"Media eyepliances","year":2005,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Focus (optics); Computer science; Modality (human–computer interaction); Selection (genetic algorithm); Point (geometry); Human–computer interaction; Multimedia; Artificial intelligence","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":[0.00006376307,0.00003997227,0.00004955417,0.00003684848,0.00003161614,0.00002656247,0.0004672309,0.00002595905,0.00004988029],"category_scores_gemma":[0.00002115239,0.00003078504,0.00001643578,0.0001282401,0.0000293037,0.0001492416,0.00006565238,0.00004989557,0.0006020032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007796816,"about_ca_system_score_gemma":0.000009056223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000337878,"about_ca_topic_score_gemma":0.00002014193,"domain_scores_codex":[0.9996074,0.000006141454,0.00005721362,0.0001409785,0.00006934818,0.0001188669],"domain_scores_gemma":[0.999685,0.00003810416,0.00001410985,0.0002224611,0.00001598871,0.00002434072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.621922e-7,0.00001515666,0.000869502,4.233192e-7,0.000001746046,0.000001907145,0.00005011984,0.00000430407,0.0002184561,0.5251002,0.003711292,0.4700267],"study_design_scores_gemma":[0.0005501998,0.00008091157,0.1175293,0.00001555495,0.00000410592,0.00004333619,0.00006084326,0.02964783,0.06716116,0.03675015,0.7476512,0.000505437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02356886,0.0001640502,0.8474386,0.0219235,0.0002538532,0.0000310851,2.718406e-7,0.001434697,0.1051851],"genre_scores_gemma":[0.8434259,0.000004403632,0.1553225,0.0004035589,0.00004666729,0.000001964803,1.095276e-7,0.000001275787,0.0007936966],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.819857,"threshold_uncertainty_score":0.7737734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162116643240569,"score_gpt":0.2428542504012054,"score_spread":0.2266425860771485,"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."}}