{"id":"W905078361","doi":"10.1016/j.optom.2015.03.002","title":"Accommodation and pupil responses to random-dot stereograms","year":2015,"lang":"en","type":"article","venue":"Journal of Optometry","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Accommodation; Pupil; Pupil size; Fixation (population genetics); Psychology; Pupil diameter; Pupillary response; Optics; Subjective constancy; Optometry; Mathematics; Audiology; Physics; Population; Medicine; Neuroscience","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":[0.0009948047,0.00007730495,0.0001636948,0.0004054186,0.00006403073,0.0001603771,0.0001595635,0.0000417249,0.00004785358],"category_scores_gemma":[0.001751265,0.00005963306,0.00003836427,0.0004728711,0.00002921644,0.0003834562,0.00004805589,0.0001494249,0.0000412089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971496,"about_ca_system_score_gemma":0.00005205211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.561978e-7,"about_ca_topic_score_gemma":7.574481e-8,"domain_scores_codex":[0.9989449,0.0001711188,0.0002639604,0.0001097906,0.0003920701,0.0001181868],"domain_scores_gemma":[0.9991863,0.0001603001,0.0001759253,0.000084636,0.0001334313,0.0002593593],"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":[0.004774363,0.0002593166,0.01487571,0.0000402806,0.00001164301,0.00006411528,0.002574697,0.00005114108,0.8765927,0.0001073521,0.003338478,0.09731019],"study_design_scores_gemma":[0.02015254,0.005889498,0.0992441,0.0005051852,0.0001060489,0.003898312,0.00443879,0.0009742521,0.8195586,0.002926211,0.04129806,0.001008386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914898,0.0000441796,0.006427941,0.0009716678,0.0004252818,0.00006112739,0.000002011302,0.00001552018,0.0005625119],"genre_scores_gemma":[0.9955088,0.00002782224,0.002470929,0.001360859,0.0001330034,9.197275e-7,1.675713e-7,0.00000908182,0.0004884141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0963018,"threshold_uncertainty_score":0.2431766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1244907460605346,"score_gpt":0.4256902417221722,"score_spread":0.3011994956616376,"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."}}