{"id":"W3164549108","doi":"10.31234/osf.io/ens4b","title":"Pupil Shape Variations","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pupil; Optometry; Retinal; Psychology; Pupil size; Human eye; Pupil diameter; Eye tracking; Gaze; Affect (linguistics); Cognitive psychology; Audiology; Computer vision; Ophthalmology; Medicine; Communication; Neuroscience; Computer science","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":[0.001162966,0.0005389608,0.0004614633,0.001380383,0.0004616408,0.001320867,0.0005179047,0.001079785,0.009728462],"category_scores_gemma":[0.005144084,0.0003685993,0.0007343828,0.0007396604,0.0007071401,0.00162198,0.00125988,0.0007051844,0.002183578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590048,"about_ca_system_score_gemma":0.0002803593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006455951,"about_ca_topic_score_gemma":0.0003389736,"domain_scores_codex":[0.9986464,0.0002766332,0.00009726218,0.0005012708,0.0003897569,0.00008860789],"domain_scores_gemma":[0.99793,0.0008710875,0.0004042665,0.0002397265,0.0004774946,0.00007740936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001693206,0.0001160872,0.03675218,0.002170189,0.0003592762,0.002416749,0.002058735,0.006557871,0.1722724,0.02211565,0.01932141,0.7341663],"study_design_scores_gemma":[0.0003753323,0.002748669,0.4105199,0.001152252,0.0008122431,0.03480284,0.001522574,0.03885179,0.1720559,0.03391822,0.3025737,0.000666526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3461637,0.07596187,0.4543083,0.003589716,0.002709614,0.0007631126,0.002959623,0.002944576,0.1105996],"genre_scores_gemma":[0.9503053,0.01054001,0.02422771,0.0009090621,0.0005840598,0.0002316203,0.000859597,0.000359187,0.01198348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009728462,"threshold_uncertainty_score":0.03254497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917586749035194,"score_gpt":0.2860760656485661,"score_spread":0.2569001981582141,"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."}}