{"id":"W2158863665","doi":"10.1109/iembs.2007.4353353","title":"Remote Point-of-Gaze Estimation with Free Head Movements Requiring a Single-Point Calibration","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gaze; Computer science; Head (geology); Single point; Point (geometry); Calibration; Computer vision; Artificial intelligence; Mathematics; Geology; Statistics","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":[0.0004817151,0.0001763918,0.0002061812,0.0002276285,0.0000967426,0.0001569987,0.0007421132,0.0001047183,0.000006383486],"category_scores_gemma":[0.0002296006,0.0001572155,0.00003079204,0.0004827731,0.0001396141,0.001013835,0.0002206487,0.0001848855,0.000005330536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007252828,"about_ca_system_score_gemma":0.00006038261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004220639,"about_ca_topic_score_gemma":0.00002281178,"domain_scores_codex":[0.9985487,0.000005682961,0.0003544863,0.0004304839,0.0003148929,0.0003457254],"domain_scores_gemma":[0.9988846,0.00004085196,0.0003050979,0.0002866509,0.0004057825,0.00007707204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001075448,0.0002464734,0.01133209,0.0002286958,0.00004633819,0.00002243797,0.004701477,0.00003369826,0.2377533,0.2243266,0.0002871487,0.5209143],"study_design_scores_gemma":[0.001578759,0.001326978,0.01816742,0.001166022,0.00002255571,0.00006610358,0.0006811218,0.4646845,0.4200491,0.09143222,0.0001769638,0.0006482101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2758228,0.00001253147,0.7200409,0.0008056688,0.00006035651,0.0001445522,6.864915e-7,0.0002992813,0.00281318],"genre_scores_gemma":[0.7978954,0.000002166324,0.2019303,0.00008082209,0.00001762134,0.000003346531,0.000001665018,0.000009452999,0.00005917993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5220726,"threshold_uncertainty_score":0.6411061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414656174607306,"score_gpt":0.2637909812326183,"score_spread":0.2296444194865452,"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."}}