{"id":"W2896098622","doi":"10.1145/3267782.3267798","title":"Look to Go","year":2018,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Nvidia","keywords":"Computer vision; Optical head-mounted display; Computer science; Artificial intelligence; Eye tracking; Virtual reality; Head (geology); Terrain; Tracking (education); Eye movement; Simulation; Computer graphics (images); Geography; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005570637,0.0007902123,0.0005586375,0.0003758364,0.000713441,0.001234012,0.0009033942,0.001491563,0.05131865],"category_scores_gemma":[0.005196345,0.0002621788,0.0005230774,0.0001841015,0.000520147,0.00212393,0.001372782,0.001061951,0.00698734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896445,"about_ca_system_score_gemma":0.0002995972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867212,"about_ca_topic_score_gemma":0.002287829,"domain_scores_codex":[0.9995236,0.0001396731,0.00002695348,0.0001087807,0.000103253,0.00009764663],"domain_scores_gemma":[0.9980872,0.0009942154,0.00008840251,0.0004034102,0.0001845257,0.0002422167],"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":[0.01141532,0.009173713,0.03639488,0.00392288,0.0005701237,0.002693936,0.0139148,0.00540362,0.1158023,0.02603372,0.0910932,0.6835815],"study_design_scores_gemma":[0.003621749,0.04539605,0.1140686,0.001929738,0.001821238,0.007236672,0.01971424,0.04596771,0.06014402,0.06220869,0.6368679,0.001023257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7128219,0.002646319,0.04210149,0.003324494,0.0009928592,0.001575964,0.002911629,0.006083914,0.2275414],"genre_scores_gemma":[0.9010295,0.001282561,0.0384169,0.004264608,0.00008478516,0.001024156,0.002447356,0.0005248202,0.0509254],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05131865,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581794608227024,"score_gpt":0.2617414138936957,"score_spread":0.2459234678114254,"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."}}