{"id":"W2972056632","doi":"10.1016/j.visres.2019.07.006","title":"Assessment of stereovision with digital testing in adults and children with normal and impaired binocularity","year":2019,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Bundesministerium für Bildung und Forschung","keywords":"Stereoscopic acuity; Stereopsis; Binocular vision; Repeatability; Strabismus; Artificial intelligence; Binocular disparity; Audiology; Psychology; Optometry; Computer vision; Computer science; Medicine; Mathematics; Ophthalmology; Statistics","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":[0.0006545428,0.0004778575,0.0004191404,0.001853758,0.0002861442,0.0004605159,0.000364089,0.0004629468,0.00113188],"category_scores_gemma":[0.003625879,0.0001837737,0.000276036,0.0005718643,0.0007819828,0.0006321902,0.0006949331,0.0003122348,0.0002374201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004135,"about_ca_system_score_gemma":0.0004089107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028741,"about_ca_topic_score_gemma":0.005356745,"domain_scores_codex":[0.9994462,0.00008452714,0.00009781362,0.0001045191,0.0001265005,0.0001404319],"domain_scores_gemma":[0.9987225,0.0003011029,0.0003288837,0.00006726669,0.0002672579,0.0003130061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009427553,0.0001984984,0.9809989,0.00005373646,0.00002238017,0.001696197,0.0007127677,0.0001103784,0.003967061,0.000089669,0.0001913747,0.01101626],"study_design_scores_gemma":[0.00001987258,0.0008341184,0.9899926,0.00001230752,0.00001572532,0.006361796,0.0007976048,0.0004258111,0.001262616,0.00008694569,0.0001828524,0.000007941027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988351,0.0001276801,0.0001395343,0.00001723359,0.000003114406,0.00001598602,0.0001199265,0.000007998788,0.0007334379],"genre_scores_gemma":[0.9994747,0.00006375382,0.000213814,0.00001614272,0.000002184563,0.00001051305,0.00008262262,0.000001898484,0.000134413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005028741,"threshold_uncertainty_score":0.009998977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06585293341540947,"score_gpt":0.3944537641592836,"score_spread":0.3286008307438741,"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."}}