{"id":"W2062581329","doi":"10.3791/2108","title":"Eye Movement Monitoring of Memory","year":2010,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Eye movement; Eye tracking; Eye tracking on the ISS; Computer science; Computer vision; BitTorrent tracker; Artificial intelligence; Movement (music)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003766742,0.0001043451,0.0002584919,0.000202807,0.00004460064,0.00003144137,0.0007652942,0.00007058254,0.00002125217],"category_scores_gemma":[0.00005874635,0.00008656428,0.0001093907,0.0001627089,0.0000556865,0.0002418074,0.0001355766,0.0002628102,0.000005362539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002788444,"about_ca_system_score_gemma":0.00005040918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006581529,"about_ca_topic_score_gemma":1.261422e-7,"domain_scores_codex":[0.9988155,0.00003750778,0.0004722893,0.0001237272,0.000378927,0.0001720733],"domain_scores_gemma":[0.9988958,0.00003206304,0.0005177733,0.0002879767,0.0001886846,0.00007771985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001677331,0.0002712007,0.008586765,0.000005495597,0.0000516122,0.00002120132,0.0005131626,0.000003276999,0.9789997,0.003346024,0.0001170526,0.008067771],"study_design_scores_gemma":[0.0009031642,0.0002149109,0.01282902,0.00004405491,0.000006274177,0.00001194005,0.0001665842,0.0001029015,0.9844047,0.000805859,0.0004286238,0.00008196549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703876,0.0002114695,0.02699609,0.0001457251,0.001784781,0.00004564273,3.110033e-7,0.00003425779,0.0003941005],"genre_scores_gemma":[0.9262003,0.00001270729,0.07356447,0.00003397591,0.0001087607,0.000002136187,6.002738e-8,0.000006725678,0.0000708888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04656838,"threshold_uncertainty_score":0.3529989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881698143495231,"score_gpt":0.4157554375611044,"score_spread":0.3869384561261521,"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."}}