{"id":"W2014160492","doi":"10.1145/765891.766086","title":"AuraMirror","year":2003,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","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":[0.00006730301,0.00003340827,0.00003636252,0.00003142744,0.00003141986,0.00002202207,0.000245349,0.00002273236,0.00003973368],"category_scores_gemma":[0.00003044458,0.00002631458,0.00001446896,0.0001393742,0.00001720653,0.0000639854,0.00002300326,0.00004153631,0.0002638079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005564686,"about_ca_system_score_gemma":0.00001140814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002646218,"about_ca_topic_score_gemma":0.000001510122,"domain_scores_codex":[0.9996776,0.00001332457,0.00004194419,0.0001178644,0.00004355791,0.0001057035],"domain_scores_gemma":[0.9997151,0.00001502544,0.000009623332,0.0002263188,0.00001452406,0.00001939494],"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":[3.540959e-8,0.000009601514,0.0007295529,2.897224e-7,0.000001018761,0.000002841805,0.000006995609,3.083585e-7,0.0003570528,0.9884471,0.000776816,0.009668432],"study_design_scores_gemma":[0.0006518216,0.0001723357,0.0531426,0.000007956546,0.000003787667,0.0001530865,0.00006369207,0.00382299,0.1202824,0.300972,0.5201867,0.0005405793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01257112,0.00001600451,0.8290834,0.0009874854,0.000131159,0.00001893565,3.959799e-8,0.0005458461,0.156646],"genre_scores_gemma":[0.8757886,5.049942e-7,0.1221225,0.0001983675,0.000001735687,0.000001733577,3.259648e-8,0.000001208844,0.001885372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8632175,"threshold_uncertainty_score":0.3390805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382201138760096,"score_gpt":0.2302859553505431,"score_spread":0.2164639439629421,"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."}}