{"id":"W2560253288","doi":"10.1097/opx.0000000000001033","title":"Fixation Stability Recording: How Long for Eyes with Central Vision Loss?","year":2016,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta; Toronto Western Hospital","funders":"","keywords":"Fixation (population genetics); Ophthalmology; Medicine; Centroid; Ellipse; Optometry; Mathematics; Computer science; Artificial intelligence; Population; Geometry","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":[0.0008847877,0.0001124285,0.0001888522,0.0001744547,0.00044145,0.00005453161,0.00008194149,0.00005215847,0.00004797152],"category_scores_gemma":[0.0005845901,0.00005739424,0.00003238914,0.000561721,0.0009433396,0.0006866119,0.00007580247,0.00005567208,0.000003476202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005367041,"about_ca_system_score_gemma":0.00005239661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001474423,"about_ca_topic_score_gemma":3.555167e-7,"domain_scores_codex":[0.9987892,0.00002400414,0.0001221012,0.0004300149,0.0003040787,0.0003306061],"domain_scores_gemma":[0.9990967,0.0002692517,0.0000779117,0.0001847095,0.0002051657,0.0001662974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006571653,0.0001805764,0.9605584,0.00008826365,0.000008605625,0.000003439609,0.00009630719,7.326396e-8,0.01903138,0.00006971106,0.000135696,0.01917034],"study_design_scores_gemma":[0.001412664,0.004179215,0.9752023,0.00027072,0.00002198727,0.00004471971,0.0001481913,0.000128059,0.01812197,0.00007983345,0.0002851938,0.0001051671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832339,0.00005978808,0.009713797,0.00630711,0.000173657,0.0003449805,0.000006258309,0.00002817447,0.0001323734],"genre_scores_gemma":[0.9980665,0.00005484426,0.001239407,0.00007458964,0.00005420585,0.00001058485,0.000001632462,0.00000508742,0.0004931603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01906517,"threshold_uncertainty_score":0.3475774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03524118904377213,"score_gpt":0.4542688091089788,"score_spread":0.4190276200652067,"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."}}