{"id":"W4253943720","doi":"10.1145/766084.766086","title":"AuraMirror","year":2003,"lang":"en","type":"article","venue":"CHI '03 extended abstracts on Human factors in computer systems - CHI '03","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Human–computer interaction; Process (computing); Painting; Visualization; Computer graphics (images); Multimedia; Artificial intelligence; Operating system; Visual arts; Art","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000889923,0.000921127,0.001055299,0.000970436,0.0005067985,0.000695423,0.002435071,0.0005465727,0.00002945223],"category_scores_gemma":[0.00009593835,0.0008191238,0.0002873297,0.0007479743,0.0002350521,0.0006016264,0.0002948848,0.001355265,0.0005678061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499658,"about_ca_system_score_gemma":0.0001388772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952501,"about_ca_topic_score_gemma":0.00007606078,"domain_scores_codex":[0.9942624,0.0004340487,0.001410214,0.00177565,0.0007956157,0.001322065],"domain_scores_gemma":[0.9963675,0.0003120631,0.0006713825,0.002144405,0.0001451933,0.0003594643],"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":[0.00003685254,0.004790877,0.02467202,0.0006219518,0.000509182,0.001545952,0.0037027,0.0117792,0.002430469,0.9181159,0.01065236,0.02114253],"study_design_scores_gemma":[0.003497611,0.001378258,0.9427527,0.001161871,0.00003809343,0.0003264044,0.0002033181,0.009802365,0.007396562,0.009236772,0.02116211,0.003043957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438092,0.0002206827,0.03147574,0.0001665471,0.00835396,0.0009668874,0.00002487542,0.001769964,0.01321217],"genre_scores_gemma":[0.992601,0.000006701759,0.006333501,0.000196703,0.0003378117,0.00005190606,0.00002585331,0.00007449654,0.0003719828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9180807,"threshold_uncertainty_score":0.9994259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04741470383063509,"score_gpt":0.2919412668482792,"score_spread":0.2445265630176441,"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."}}