{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000517579,0.0009157276,0.0005425729,0.0006358118,0.0005790578,0.00184825,0.001733407,0.0009332444,0.0465418],"category_scores_gemma":[0.001822044,0.0004328557,0.0008227367,0.0003948784,0.0003644957,0.002274799,0.002483204,0.001103755,0.01326822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003377884,"about_ca_system_score_gemma":0.0004852065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096232,"about_ca_topic_score_gemma":0.003406296,"domain_scores_codex":[0.9994969,0.00005758142,0.00002424013,0.0001235332,0.0002191128,0.00007866161],"domain_scores_gemma":[0.999313,0.0001537189,0.00004118538,0.0002147565,0.0001402942,0.0001369322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002073504,0.0002397325,0.003398478,0.0008972972,0.0001302122,0.0006786584,0.00109699,0.002695552,0.06422107,0.02451154,0.2462522,0.6538048],"study_design_scores_gemma":[0.0002077219,0.0005972873,0.004380532,0.0001588421,0.0001662416,0.001892278,0.0001706062,0.02656618,0.03622032,0.005295783,0.9241759,0.0001683066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05139877,0.005802616,0.4521885,0.001430595,0.001170378,0.0007063735,0.004832987,0.2613037,0.2211661],"genre_scores_gemma":[0.3619695,0.004526924,0.3809041,0.001775481,0.0006941876,0.000721672,0.01270432,0.01148488,0.225219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0465418,"threshold_uncertainty_score":0,"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."}}