{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001596064,0.00004698992,0.00004613982,0.00001343982,0.0008882874,0.0004413604,0.001899542,0.00003023849,0.000008103486],"category_scores_gemma":[0.00009623753,0.00002592711,0.00002514117,0.00001542763,0.0001552985,0.0001367517,0.0003475984,0.00007799204,0.0001180006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005840255,"about_ca_system_score_gemma":0.0000120552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006242689,"about_ca_topic_score_gemma":0.0001849411,"domain_scores_codex":[0.9995603,0.00000983591,0.0000576186,0.0001446206,0.00007553051,0.0001520917],"domain_scores_gemma":[0.9987962,0.00006135429,0.00005035093,0.001042248,0.00002991668,0.00001987849],"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":[6.892419e-7,0.00001194018,0.01245565,7.148269e-7,0.000008010409,0.000009185855,0.0000492148,5.47025e-7,0.0001526383,0.7288895,0.02016972,0.2382522],"study_design_scores_gemma":[0.0003327319,0.00008812444,0.3238858,0.00001450691,0.000004257651,0.00002290152,0.0001728076,0.0118551,0.01103467,0.08496407,0.5673547,0.0002703377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03356973,0.00009453871,0.3746816,0.1944035,0.0009415798,0.0001054518,5.303648e-7,0.000760962,0.3954422],"genre_scores_gemma":[0.9832234,0.00001083731,0.0057712,0.0002345335,0.00002380601,0.000003875032,3.7785e-8,0.000001780107,0.01073057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496536,"threshold_uncertainty_score":0.6832078,"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."}}