{"id":"W6892611453","doi":"10.5281/zenodo.11368509","title":"HeadShift: Head Pointing with Dynamic Control-Display Gain","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Head (geology); Noise (video); Field (mathematics); Human head","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":[0.001015895,0.002353997,0.001395114,0.00116102,0.0008629087,0.002006252,0.004250226,0.002148372,0.1195072],"category_scores_gemma":[0.003057835,0.001033418,0.0009369632,0.0009825812,0.0008528181,0.002782915,0.006447854,0.001703048,0.0517005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005756546,"about_ca_system_score_gemma":0.0008611226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005169898,"about_ca_topic_score_gemma":0.007516163,"domain_scores_codex":[0.9990686,0.000133477,0.00006560954,0.0001981881,0.0004134776,0.0001206147],"domain_scores_gemma":[0.9988213,0.0003034552,0.00003033673,0.0004973753,0.000226819,0.0001206661],"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":[0.002677792,0.0002366832,0.0008159706,0.0005887582,0.0001620706,0.0005841157,0.0005082929,0.003020577,0.04334933,0.007161737,0.3972884,0.5436063],"study_design_scores_gemma":[0.001254997,0.0008016223,0.003876829,0.0004435471,0.0002940457,0.001611371,0.0003964673,0.165603,0.1413259,0.02814091,0.6557406,0.0005106189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.008889138,0.001418925,0.4791292,0.0003802644,0.0009764959,0.0004375923,0.003735382,0.4834119,0.02162109],"genre_scores_gemma":[0.2744809,0.003103524,0.460437,0.001488471,0.0006528827,0.001525421,0.02073449,0.04080486,0.1967725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1195072,"threshold_uncertainty_score":0.3997915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718898908827891,"score_gpt":0.2499595748800885,"score_spread":0.2327705857918096,"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."}}