{"id":"W2753412330","doi":"10.1167/17.10.686","title":"Where is your attention?: Estimating the frequency of gaze following in the cuing task using a trial-by trial analysis.","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gaze; Psychology; Task (project management); Facilitation; Cognitive psychology; Audiology; Medicine; Neuroscience","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":[0.003160159,0.0001074448,0.0003708767,0.0002411784,0.0004507857,0.0003314906,0.001694088,0.00007664064,0.000003096342],"category_scores_gemma":[0.0005848628,0.00005897881,0.0004391515,0.0004245885,0.0000625927,0.0005609994,0.0001347088,0.0003850927,8.238594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000432456,"about_ca_system_score_gemma":0.00006153731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181325,"about_ca_topic_score_gemma":0.00001467107,"domain_scores_codex":[0.9982121,0.0002384246,0.0007069386,0.0001652745,0.000501311,0.0001759532],"domain_scores_gemma":[0.9974533,0.0002161126,0.001569956,0.0006240477,0.0001117943,0.00002481109],"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":[0.01588286,0.004346374,0.1981758,0.0002213824,0.004988369,0.00109744,0.02120929,0.012238,0.3277591,0.007478796,0.005913099,0.4006895],"study_design_scores_gemma":[0.1848224,0.003787437,0.2163076,0.002976093,0.002064125,0.0001615859,0.001604755,0.5664811,0.0009381541,0.01981843,0.0002684071,0.0007699585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8086151,0.0003074092,0.1880186,0.002311298,0.0005740052,0.0001203268,7.444906e-7,0.000007452423,0.00004500847],"genre_scores_gemma":[0.97453,0.000009358395,0.02527859,0.00003707606,0.0001314879,0.000001174503,1.551659e-7,0.000004412002,0.000007711574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5542431,"threshold_uncertainty_score":0.3467125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04374863279637308,"score_gpt":0.3651204267708894,"score_spread":0.3213717939745163,"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."}}