{"id":"W2762185336","doi":"10.1145/3131277.3132182","title":"The eyes don't have it","year":2017,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Selection (genetic algorithm); Eye tracking; Computer science; Head (geology); Gaze; Artificial intelligence; Task (project management); Computer vision; Optical head-mounted display; Reciprocal; Virtual reality; Engineering","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":[0.000916891,0.0004661951,0.0004227248,0.0002020957,0.0004835748,0.00113679,0.0004704144,0.0008922895,0.009836574],"category_scores_gemma":[0.009102908,0.00026339,0.0003385194,0.0002084724,0.0005795977,0.00212592,0.000902187,0.0005808474,0.002742596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788563,"about_ca_system_score_gemma":0.0002984984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000829311,"about_ca_topic_score_gemma":0.0007834716,"domain_scores_codex":[0.998938,0.0002109478,0.00009611126,0.000314198,0.0003216033,0.000119037],"domain_scores_gemma":[0.9938974,0.003376251,0.0006861174,0.001122751,0.0007252341,0.0001922368],"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":[0.006365557,0.0009990849,0.03316793,0.001535984,0.0003206992,0.0007702129,0.003219631,0.001181912,0.3957902,0.005247157,0.004766477,0.5466352],"study_design_scores_gemma":[0.001904878,0.03518775,0.5058816,0.0009451043,0.00178176,0.01674967,0.007949099,0.01594982,0.2785228,0.02436105,0.1103252,0.0004413642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9509856,0.002051532,0.01963699,0.0007065715,0.0001928202,0.0001462861,0.00025961,0.0003318063,0.02568881],"genre_scores_gemma":[0.9839318,0.0006201357,0.007414717,0.00095685,0.00006102207,0.0000808277,0.0001845875,0.0001221644,0.006627897],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009836574,"threshold_uncertainty_score":0.03290665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775006737072484,"score_gpt":0.2956864600594404,"score_spread":0.2679363926887156,"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."}}