{"id":"W3031080888","doi":"10.1145/3396339.3396390","title":"Tracing shapes with eyes","year":2020,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sketch; Gaze; Computer science; Tracing; Pointer (user interface); Computer vision; TRACE (psycholinguistics); Artificial intelligence; Eye tracking; Set (abstract data type); Human–computer interaction; Interface (matter); Computer graphics (images); Algorithm","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":[0.00002527392,0.00005136829,0.00006415779,0.00001976602,0.0000392673,0.00004313244,0.0003405744,0.00001968724,0.00001770464],"category_scores_gemma":[0.00001117176,0.000034701,0.00001262812,0.0001966364,0.00002579678,0.000119574,0.00005785058,0.00006894814,0.00006888192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003149348,"about_ca_system_score_gemma":0.00001159161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004467284,"about_ca_topic_score_gemma":0.000003675767,"domain_scores_codex":[0.9995819,0.000006733304,0.00004951707,0.0001838695,0.00006890697,0.0001091208],"domain_scores_gemma":[0.9998186,0.00001939969,0.00001608264,0.00008857768,0.00001711142,0.00004024733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001016986,0.00005593948,0.008135974,0.00002249158,0.00003478085,0.00012005,0.00124951,0.0002235274,0.004336014,0.5183756,0.002585411,0.4648506],"study_design_scores_gemma":[0.0027678,0.003156879,0.1433257,0.0001298323,0.00003806235,0.0002068404,0.001003696,0.5425159,0.2346564,0.01543256,0.05479949,0.001966841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03860551,0.00003449684,0.937816,0.01347865,0.00001275229,0.0000253672,1.334423e-7,0.0008435703,0.009183486],"genre_scores_gemma":[0.9255141,8.864049e-7,0.07335199,0.001050656,0.00001451362,0.000001663881,7.485353e-8,0.000002441304,0.00006366192],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8869086,"threshold_uncertainty_score":0.1415066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096097494346696,"score_gpt":0.2189398766772461,"score_spread":0.1979789017337792,"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."}}