{"id":"W3197033678","doi":"10.1167/jov.21.9.2359","title":"Differentiating luminance, arousal, and cognitive signals on pupil size and microsaccades","year":2021,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microsaccade; Saccade; Pupil; Luminance; Pupillometry; Psychology; Pupil diameter; Fixation (population genetics); Stimulus (psychology); Arousal; Cognition; Eye movement; Cognitive psychology; Audiology; Neuroscience; Artificial intelligence; Computer science; Population; Medicine; Saccadic masking","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002373982,0.00008742156,0.0002008489,0.00006538018,0.00008134459,0.00006833523,0.00003323548,0.00007404937,0.00122687],"category_scores_gemma":[0.0002002883,0.00007066628,0.00005145348,0.00007601218,0.00004825918,0.00008125723,0.00002640724,0.0002096735,0.00001973034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000814802,"about_ca_system_score_gemma":0.00001791285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001354071,"about_ca_topic_score_gemma":0.000004970439,"domain_scores_codex":[0.999189,0.0001561781,0.0002678451,0.0001402745,0.0001334965,0.0001131637],"domain_scores_gemma":[0.9989526,0.0005659863,0.0002091581,0.00005458803,0.0001380442,0.00007967232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001613089,0.0009347227,0.02575542,0.00005249023,0.000190476,0.0007151722,0.006314785,0.00000176133,0.6499416,0.0002739459,0.01285491,0.3013516],"study_design_scores_gemma":[0.001946711,0.001107077,0.9893914,0.0003837153,0.00006207755,0.0004402104,0.002104291,0.00001585406,0.002245995,0.0003583888,0.001827747,0.0001165351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957495,0.001162487,0.0003657139,0.0003568512,0.0002555509,0.00004720953,0.000005357384,0.000005495807,0.002051838],"genre_scores_gemma":[0.9977729,0.0002626851,0.0002773123,0.0005529862,0.0001395651,8.749819e-7,8.918379e-7,0.000008929795,0.0009838705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.963636,"threshold_uncertainty_score":0.9996861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501235889459415,"score_gpt":0.3524631973414769,"score_spread":0.3274508384468828,"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."}}