{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004473741,0.001142523,0.0007958903,0.0006627063,0.0009624601,0.002999869,0.001254382,0.002015045,0.08942916],"category_scores_gemma":[0.004207293,0.0003633143,0.0005629464,0.0004861643,0.00056708,0.001703489,0.00255203,0.0008429114,0.01876093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006099092,"about_ca_system_score_gemma":0.000735448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002492923,"about_ca_topic_score_gemma":0.002062399,"domain_scores_codex":[0.9991954,0.00009433577,0.00003812091,0.0002042365,0.0003543168,0.0001135893],"domain_scores_gemma":[0.9988604,0.000319379,0.0000432992,0.0002328427,0.0004394096,0.0001046862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002002116,0.0002069153,0.003000196,0.001062219,0.00008098193,0.004012922,0.002067675,0.002489218,0.2564856,0.0390763,0.1588566,0.5306592],"study_design_scores_gemma":[0.000350609,0.001544581,0.01150164,0.001128326,0.0002276172,0.006968615,0.001272131,0.04527028,0.1673584,0.03847659,0.7256321,0.000269024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06841158,0.002929898,0.2214682,0.005442785,0.006301626,0.0007795236,0.003899763,0.01950436,0.6712623],"genre_scores_gemma":[0.5859345,0.002841303,0.08152854,0.005974374,0.001227789,0.0004169995,0.002572405,0.00212887,0.3173752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08942916,"threshold_uncertainty_score":0.2991704,"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."}}