{"id":"W4391287009","doi":"10.13009/ao4elt7-2023-043","title":"Subpixel pupil tracking on METIS for ELT","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subpixel rendering; Metis; Pupil; Computer science; Eye tracking; Tracking (education); Artificial intelligence; Computer vision; Computer graphics (images); Pixel; Optics; Physics; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162134,0.0001527135,0.0001549971,0.0001533071,0.0002002474,0.0001516425,0.0003496595,0.00006479928,0.00004918614],"category_scores_gemma":[0.0006118069,0.0001669599,0.0001101037,0.000477484,0.0000526788,0.0001047015,0.00005456443,0.0001545656,0.0001582617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005069977,"about_ca_system_score_gemma":0.00001909833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005630267,"about_ca_topic_score_gemma":0.0001849032,"domain_scores_codex":[0.9986758,0.0003490369,0.0002135194,0.0002593653,0.0001851172,0.0003171237],"domain_scores_gemma":[0.9978418,0.00101728,0.00004628622,0.0006576161,0.0003485616,0.00008840213],"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":[0.00002847166,0.0004026915,0.002413656,0.0004319116,0.0002131742,0.0000168426,0.01935781,0.006397594,0.1059864,0.1580306,0.05590827,0.6508126],"study_design_scores_gemma":[0.001238339,9.28045e-7,0.01092037,0.0008420164,0.000045357,0.00001054934,0.0003789155,0.2852581,0.4521791,0.003581946,0.2447971,0.0007472432],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7916368,0.0005050539,0.09240199,0.01098024,0.0007197685,0.000636216,0.00009912751,0.003328489,0.09969234],"genre_scores_gemma":[0.9859019,0.0001724412,0.005608068,0.00007196951,0.00002927364,0.00004857151,0.0001256537,0.00006226651,0.007979876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6500654,"threshold_uncertainty_score":0.6808428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594097464021121,"score_gpt":0.2232068112803797,"score_spread":0.2072658366401685,"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."}}