{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004313841,0.000759525,0.0003936911,0.0007584438,0.0006356076,0.0007923518,0.0007636172,0.0009117029,0.03428393],"category_scores_gemma":[0.002029853,0.0003446547,0.0004384715,0.0003264762,0.0003026717,0.001325353,0.001432621,0.0007321698,0.007229481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922067,"about_ca_system_score_gemma":0.0006507616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004040023,"about_ca_topic_score_gemma":0.005156273,"domain_scores_codex":[0.9996043,0.0000511226,0.00001883143,0.0001148248,0.0001625088,0.00004845705],"domain_scores_gemma":[0.9992779,0.0001983283,0.00005756248,0.0001345297,0.0002329798,0.00009867912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002250275,0.0005345658,0.01001421,0.001189457,0.0001286542,0.0006711457,0.00190359,0.001570943,0.4420956,0.0103268,0.06662162,0.4626931],"study_design_scores_gemma":[0.001026669,0.005961582,0.09544987,0.000453975,0.0004865458,0.01069782,0.0007650968,0.0433818,0.2699197,0.007333326,0.5639315,0.0005922094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.441801,0.005287587,0.3040047,0.00137622,0.001145507,0.001755082,0.007865405,0.05585657,0.1809078],"genre_scores_gemma":[0.6940637,0.001985083,0.1195166,0.0009967496,0.0002900696,0.001267663,0.006524332,0.001744688,0.1736111],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9657161,"threshold_uncertainty_score":0,"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."}}