{"id":"W2060175976","doi":"10.1145/506443.506572","title":"GAZE-2","year":2002,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Gaze; Parallax; Computer vision; Videoconferencing; Artificial intelligence; Broadcasting (networking); Computer graphics (images); Multimedia","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":[0.0005534503,0.001075029,0.0004528819,0.001321962,0.001164559,0.001310649,0.0009473009,0.001122555,0.1281314],"category_scores_gemma":[0.001840665,0.0004299962,0.0005247176,0.0006220607,0.0003698679,0.00195549,0.002064181,0.001017473,0.05778816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008096903,"about_ca_system_score_gemma":0.001181016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007779086,"about_ca_topic_score_gemma":0.0109387,"domain_scores_codex":[0.9994842,0.00004706088,0.00002119319,0.000145334,0.0002350873,0.00006705171],"domain_scores_gemma":[0.9993088,0.00008234494,0.00002347059,0.0001220182,0.000369025,0.00009432255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009954829,0.0001989732,0.004627865,0.0007148571,0.00006276076,0.00043361,0.0007037038,0.0009708075,0.07957702,0.01771813,0.47893,0.4150668],"study_design_scores_gemma":[0.0001693414,0.0003883953,0.006610962,0.0001263145,0.00006581638,0.001176419,0.0001439498,0.003755585,0.02385585,0.0040114,0.9595966,0.00009936706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0497373,0.006277896,0.1492483,0.003214644,0.002629247,0.001417118,0.03022586,0.1132637,0.6439859],"genre_scores_gemma":[0.1563245,0.003419073,0.07411848,0.002018315,0.0005356062,0.001363568,0.05387611,0.006130243,0.7022142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1281314,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567296007820034,"score_gpt":0.2035413748546391,"score_spread":0.1778684147764387,"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."}}