{"id":"W2752356709","doi":"10.1145/3098279.3098561","title":"Designing a gaze gesture guiding system","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Gesture; Gaze; Computer science; Task (project management); Modality (human–computer interaction); Human–computer interaction; Vocabulary; Computer vision; Presentation (obstetrics); Artificial intelligence; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005533902,0.0003078596,0.0004224928,0.0001948032,0.0003546287,0.000720725,0.00385091,0.0005398539,0.000003245216],"category_scores_gemma":[0.0001175359,0.0002653426,0.0001423,0.00006755326,0.0000666427,0.0001312559,0.003263746,0.0005926947,0.0001052884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387623,"about_ca_system_score_gemma":0.0001509658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009218057,"about_ca_topic_score_gemma":0.000005954681,"domain_scores_codex":[0.9981377,0.00007359911,0.0002719193,0.0008809387,0.0002454974,0.0003903073],"domain_scores_gemma":[0.997048,0.00006938979,0.0003641566,0.002307288,0.0001363623,0.00007479778],"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":[0.00000446178,0.00007933487,0.003740667,0.001010181,0.0002734805,0.0008379698,0.0006939863,0.0006745611,0.004401774,0.8711379,0.01661871,0.1005269],"study_design_scores_gemma":[0.003437467,0.0006600944,0.05288529,0.02774966,0.0005615486,0.002339849,0.001534426,0.5610442,0.1471723,0.1377688,0.05277424,0.01207201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001600002,0.0003773028,0.9578641,0.001244491,0.001526759,0.0001887982,0.000001726406,0.002731932,0.03446489],"genre_scores_gemma":[0.7676626,0.000009282956,0.2311978,0.00004032551,0.000119211,0.00003509086,0.000001782886,0.00001467724,0.0009192651],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7660626,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06747349202781526,"score_gpt":0.2816483371140398,"score_spread":0.2141748450862245,"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."}}