{"id":"W2038219465","doi":"10.1145/642611.642702","title":"GAZE-2","year":2003,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer vision; Gaze; Parallax; Eye contact; Computer science; Artificial intelligence; Eye tracking; Perception; Computer graphics (images); Communication; Psychology","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":[0.00007019188,0.00003226837,0.00003531203,0.00003156698,0.00002935336,0.00002078299,0.000236698,0.00002159587,0.00004244517],"category_scores_gemma":[0.00002871185,0.00002575115,0.00001390471,0.0001375332,0.00001588933,0.00005936269,0.00002299201,0.00004093894,0.0002587807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004914736,"about_ca_system_score_gemma":0.00001063335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001839178,"about_ca_topic_score_gemma":0.000001036824,"domain_scores_codex":[0.9996857,0.00001303368,0.0000403096,0.0001152284,0.00004287795,0.0001028355],"domain_scores_gemma":[0.9997182,0.00001480147,0.000008816638,0.0002254884,0.00001383092,0.00001878606],"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":[3.005062e-8,0.000008754328,0.0009091463,2.595688e-7,9.70029e-7,0.000002817268,0.000006049712,6.354808e-7,0.0002673155,0.9858786,0.001234671,0.01169075],"study_design_scores_gemma":[0.0005552766,0.0001404717,0.02971075,0.000008783493,0.000003126416,0.0001431022,0.000041726,0.002875871,0.1263796,0.2996203,0.5400633,0.0004577471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005545936,0.00002445092,0.7951319,0.0006023496,0.0001019666,0.00001323423,2.716423e-8,0.0004136945,0.1981665],"genre_scores_gemma":[0.901554,0.000001100758,0.0964449,0.0002067603,0.000002683267,0.000001499921,2.911347e-8,0.000001205409,0.001787851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.896008,"threshold_uncertainty_score":0.3326189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116212901777028,"score_gpt":0.2200949384350219,"score_spread":0.2084736482573191,"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."}}