{"id":"W2155532786","doi":"10.1145/1743666.1743668","title":"An eye on input","year":2010,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Eye movement; Eye tracking on the ISS; Eye tracking; Jitter; Fixation (population genetics); Computer vision; Human–computer interaction; Human eye; Point (geometry); Artificial intelligence; Selection (genetic algorithm); Input device; Controller (irrigation); Computer hardware","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":[0.00007971563,0.00004662136,0.00004345714,0.00005561138,0.00004463558,0.00004482269,0.000603895,0.00005188143,0.00003432045],"category_scores_gemma":[0.00002168461,0.00003562256,0.00001319923,0.0001033913,0.00003217772,0.0001036335,0.00004272917,0.0001763988,0.000281103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002684819,"about_ca_system_score_gemma":0.00001182565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009454763,"about_ca_topic_score_gemma":0.00002207737,"domain_scores_codex":[0.9995835,0.000008141243,0.00004587789,0.0001837199,0.00006467961,0.0001141238],"domain_scores_gemma":[0.9994032,0.00002173508,0.00001313129,0.000505102,0.00001922023,0.00003758345],"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":[4.602817e-7,0.00006321663,0.003343258,3.56415e-7,0.000001183508,0.000005050468,0.00002187195,0.000002498598,0.02870199,0.8660862,0.0003872836,0.1013866],"study_design_scores_gemma":[0.0006163444,0.001083829,0.5202852,0.000008781599,0.000003374257,0.00001853311,0.00002358736,0.05143213,0.2761775,0.07175366,0.07795176,0.0006452726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7235413,8.422908e-7,0.2415874,0.003149653,0.0004387753,0.00002816565,2.113087e-7,0.000995994,0.03025762],"genre_scores_gemma":[0.9557806,1.441362e-7,0.0433046,0.0004974215,0.00002882232,0.000001923069,2.19061e-7,0.000002219822,0.0003840332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7943326,"threshold_uncertainty_score":0.3613104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009544705580754476,"score_gpt":0.2706448780799387,"score_spread":0.2611001724991842,"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."}}