{"id":"W2803334930","doi":"","title":"LAIF: A Logging and Interaction Framework for Gaze- Based Interfaces in Virtual Entertainment Environments.","year":2010,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Gaze; Computer science; Human–computer interaction; Entertainment; Eye tracking; Entertainment industry; Video game development; Video game; Multimedia; Artificial intelligence; Game design","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":[0.004109594,0.002087469,0.001143101,0.002369886,0.0009678841,0.003286575,0.004613705,0.001879305,0.01112316],"category_scores_gemma":[0.008387501,0.001350301,0.002179303,0.0006098136,0.001226598,0.003280762,0.003551711,0.002845621,0.004368629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156615,"about_ca_system_score_gemma":0.002606928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008032531,"about_ca_topic_score_gemma":0.007741928,"domain_scores_codex":[0.9984225,0.0003873523,0.0001772153,0.0002504385,0.0006049795,0.0001575131],"domain_scores_gemma":[0.9979236,0.0008155458,0.000190545,0.0004048298,0.0004412608,0.0002241182],"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":[0.00147228,0.001109963,0.006413792,0.002777915,0.0004846807,0.001424655,0.004947905,0.03190055,0.05862804,0.09173425,0.06978522,0.7293208],"study_design_scores_gemma":[0.0005086341,0.0008503044,0.005075039,0.00126423,0.0003709343,0.002690318,0.000508222,0.4603823,0.05019953,0.05600205,0.4214744,0.0006740177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001095335,0.0001223576,0.9549164,0.00007770628,0.00002691462,0.000563848,0.0003589937,0.0417474,0.001090991],"genre_scores_gemma":[0.04656377,0.0004412737,0.9311427,0.0002855381,0.0000613783,0.003385324,0.001964422,0.006996469,0.009159127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01112316,"threshold_uncertainty_score":0.03721064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248327259303416,"score_gpt":0.2675564426683223,"score_spread":0.2550731700752882,"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."}}